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ORCIDCEC 2007: Singapore
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore. IEEE 2007, ISBN 978-1-4244-1339-3
Evolutionary Data Mining - Part I
- Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. 1-6 - Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
Parallel PSO using MapReduce. 7-14 - Maoguo Gong
, Lining Zhang, Licheng Jiao, Shuiping Gou:
Solving multiobjective clustering using an immune-inspired algorithm. 15-22 - Cyril De Fillon, Alberto Bartoli:
Symbolic regression of discontinuous and multivariate functions by Hyper-Volume Error Separation (HVES). 23-30 - Neven Boric, Pablo A. Estévez:
Genetic programming-based clustering using an information theoretic fitness measure. 31-38 - James F. Smith III:
Evolutionary data mining of digital logic and the effects of uncertainty. 39-46
Representation & Operators
- Philipp Rohlfshagen, John A. Bullinaria:
Implicit alternative splicing for genetic algorithms. 47-54 - Xiao-Bing Hu, Ezequiel A. Di Paolo:
An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem. 55-62 - Ekaterina Smorodkina, Daniel R. Tauritz:
Toward automating EA configuration: the parent selection stage. 63-70 - W. A. de Landgraaf, A. E. Eiben, Volker Nannen:
Parameter calibration using meta-algorithms. 71-78 - Renato Tinós, Shengxiang Yang:
Self-adaptation of mutation distribution in evolutionary algorithms. 79-86 - Daniel A. Ashlock, Justin Schonfeld:
A fractal representation for real optimization. 87-94
Evolutionary Algorithms Based on Probabilistic Models - Part I
- David Wallin, Conor Ryan:
On the diversity of diversity. 95-102 - Volker Nannen, A. E. Eiben:
Efficient relevance estimation and value calibration of evolutionary algorithm parameters. 103-110 - Nan Ding, Ji Xu, Shude Zhou, Zengqi Sun:
Reducing computational complexity of estimating multivariate histogram-based probabilistic model. 111-118 - Hisashi Handa:
Estimation of distribution algorithms with niche separation mechanism. 119-126 - Marcus Gallagher, Ian A. Wood, Jonathan M. Keith, George Y. Sofronov:
Bayesian inference in estimation of distribution algorithms. 127-133 - Takayuki Higo, Keiki Takadama:
Hierarchical importance sampling instead of annealing. 134-141
Ant Colony Optimization
- Martyn Amos, Oliver Don:
An ant-based algorithm for annular sorting. 142-148 - Haibin Duan, Guanjun Ma, Senqi Liu:
Experimental study of the adjustable parameters in basic ant colony optimization algorithm. 149-156 - Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel:
The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. 157-164 - Guillermo Leguizamón, Carlos A. Coello Coello:
A boundary search based ACO algorithm coupled with stochastic ranking. 165-172 - Shigeyoshi Tsutsui, Lichi Liu:
Solving quadratic assignment problems with the cunning ant system. 173-179 - Saira Zahid, Muhammad Shahzad, Syed Usman Ali, Muddassar Farooq:
A comprehensive formal framework for analyzing the behavior of nature-inspired routing protocols. 180-187
Evolutionary Computation in Finance and Economics - Part I
- Dipti Srinivasan, Vishal Sharma:
Evolutionary computation and economic time series forecasting. 188-195 - Claus de Castro Aranha, Hitoshi Iba:
Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. 196-203 - Swee Chiang Chiam, Abdullah Al Mamun, Y. L. Low:
A realistic approach to evolutionary multiobjective portfolio optimization. 204-211 - Rubén Ruiz-Torrubiano, Alberto Suárez:
Use of heuristic rules in evolutionary methods for the selection of optimal investment portfolios. 212-219 - Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with sarsa learning and its application to creating stock trading rules. 220-227 - Asunción Mochón, Yago Sáez, David Quintana, Pedro Isasi Viñuela:
Bidding with memory in the presence of synergies: a genetic algorithm implementation. 228-235
Evolutionary Computation in Dynamic and Uncertain Environments - Part I
- Renato Tinós, Shengxiang Yang:
Continuous dynamic problem generators for evolutionary algorithms. 236-243 - Dingding Chen, Allan Zhong, John Gano, Syed Hamid, Orlando De Jesus, Stan Stephenson:
Construction of surrogate model ensembles with sparse data. 244-251 - Irene Moser, Tim Hendtlass:
A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. 252-259 - A. J. Graaff, Andries P. Engelbrecht:
A local network neighbourhood artificial immune system for data clustering. 260-267 - Peter A. N. Bosman, Han La Poutré:
Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization. 268-275 - Anabela Simões, Ernesto Costa:
Improving memory's usage in evolutionary algorithms for changing environments. 276-283
Bioinformatics & Bioengineering - Part I
- Enrique Alba, José García-Nieto, Laetitia Jourdan, El-Ghazali Talbi:
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. 284-290 - Benjamin Parent, Alexandru-Adrian Tantar, Nouredine Melab, El-Ghazali Talbi, Dragos Horvath:
Grid-based evolutionary strategies applied to the conformational sampling problem. 291-296 - Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. 297-304 - Satoko Kikuchi, Goutam Chakraborty:
Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search. 305-312 - Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang:
Evolving hypernetwork classifiers for microRNA expression profile analysis. 313-319 - Bing Wang, Lu-Sheng Ge, Wen-You Jia, Li Liu, Fu-Chun Chen:
Prediction of protein interactions by combining genetic algorithm with SVM method. 320-325
Linkage in Evolutionary Computation
- Leonardo R. Emmendorfer, Aurora Trinidad Ramirez Pozo:
An empirical evaluation of linkage learning strategies for multimodal optimization. 326-333 - Corie L. Cobb, Ying Zhang, Alice M. Agogino, Jennifer Mangold:
Case-based reasoning and object-oriented data structures exploit biological analogs to generate virtual evolutionary linkages. 334-341 - Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez:
A Simple Real-Coded Extended Compact Genetic Algorithm. 342-348 - Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
A network design problem by a GA with linkage identification and recombination for overlapping building blocks. 349-356 - Chung-Yao Chuang, Ying-Ping Chen:
Likage identification by perturbation and decision tree induction. 357-363 - David Jonathan Coffin, Robert Elliott Smith:
The limitations of distribution sampling for linkage learning. 364-369
Analysis of Genetic Representations and Operators
- Martin H. Luerssen, David M. W. Powers:
Evolvability and Redundancy in Shared Grammar Evolution. 370-377 - Francisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu:
Specific crossover and mutation operators for a grouping problem based on interaction data in a regional science context. 378-385 - Martin H. Luerssen, David M. W. Powers:
Graph design by graph grammar evolution. 386-393 - Elizabeth Montero, María Cristina Riff Rojas:
Calibrating strategiesfor evolutionary algorithms. 394-399 - Leon Poladian:
Excluding the best and worst individuals from parent selection. 400-406 - David Joslin, Justin Collins:
Greedy transformation of evolutionary algorithm search spaces for scheduling problems. 407-414
Evolutionary Algorithms Based on Probabilistic Models - Part II
- Weishan Dong, Xin Yao:
Covariance matrix repairing in Gaussian based EDAs. 415-422 - Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov:
A versatile quantum-inspired evolutionary algorithm. 423-430 - Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization. 431-437 - Ramón Sagarna, Andrea Arcuri, Xin Yao:
Estimation of distribution algorithms for testing object oriented software. 438-444 - Yi Hong, Sam Kwong, Qingsheng Ren, Yi Xiong Wang:
A comprehensive comparison between real population based tournament selection and virtual population based tournament selection. 445-452 - Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao:
On the analysis of average time complexity of estimation of distribution algorithms. 453-460
Ant Colony Optimization
- Michael Geis, Martin Middendorf:
An ant colony optimizer for melody creation with baroque harmony. 461-468 - Amine M. Boumaza, Bruno Scherrer:
Convergence and rate of convergence of a foraging ant model. 469-476 - Emanuel Tellez-Emiquez, Efrén Mezura-Montes, Carlos A. Coello Coello:
An ant system with steps counter for the job shop scheduling problem. 477-484 - Minh N. Doan:
An effective ant-based algorithm for the degree-constrained minimum spanning tree problem. 485-491 - Alejandro Catalá, Javier Jaén Martínez, José A. Mocholí:
Strategies for accelerating ant colony optimization algorithms on graphical processing units. 492-500 - Benjamin Doerr, Daniel Johannsen:
Refined runtime analysis of a basic ant colony optimization algorithm. 501-507
Evolutionary Computation in Finance and Economics - Part II
- Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Stock trading rules using genetic network programming with actor-critic. 508-515 - Prisadarng Skolpadungket, Keshav P. Dahal, Napat Harnpornchai:
Portfolio optimization using multi-obj ective genetic algorithms. 516-523 - Eric Guerci, Stefano Ivaldi, Marco Raberto, Silvano Cincotti:
Learning agents in a monopolistic competition framework. 524-531 - Ma. Guadalupe Castillo Tapia, Carlos A. Coello Coello:
Applications of multi-objective evolutionary algorithms in economics and finance: A survey. 532-539 - Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational intelligence algorithms for risk-adjusted trading strategies. 540-547 - Sum Sakprasat, Mark C. Sinclair:
Classification rule mining for automatic credit approval using genetic programming. 548-555
Evolutionary Computation in Dynamic and Uncertain Environments - Part II
- P. G. Balaji, Dipti Srinivasan, Chen-Khong Tham:
Uncertainties reducing Techniques in evolutionary computation. 556-563 - Rodica Ioana Lung, Dumitru Dumitrescu:
A collaborative model for tracking optima in dynamic environments. 564-567 - Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. 568-575 - Xiaodong Li, Jürgen Branke, Michael Kirley:
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. 576-583 - Ferrante Neri, Giuseppe Leonardo Cascella, Nadia Salvatore, Silvio Stasi:
An adaptive prudent-daring evolutionary algorithm for noise handling in on-line PMSM drive design. 584-591 - Stefan Bird, Xiaodong Li:
Using regression to improve local convergence. 592-599
Bioinformatics & Bioengineering - Part II
- Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada:
Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. 600-605 - KunHong Liu, De-Shuang Huang, Bo Li:
Improving the performance of ICA based microarray data prediction models with genetic algorithm. 606-611 - Telma Woerle de Lima, Paulo Henrique Ribeiro Gabriel, Alexandre C. B. Delbem, Rodrigo Antonio Faccioli, Ivan Nunes da Silva:
Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions. 612-619 - Andreas Dräger, Jochen Supper, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell:
Comparing various evolutionary algorithms on the parameter optimization of the valine and leucine biosynthesis in corynebacterium glutamicum. 620-627 - Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
Multi-population approach to approximate the development of neocortical networks. 628-633 - KunHong Liu, De-Shuang Huang, Jun Zhang:
Microarray data prediction by evolutionary classifier ensemble system. 634-637
Constraint-Handling Techniques Used in Evolutionary Algorithms
- Paul Michael Godley, David E. Cairns, Julie Cowie:
Directed intervention crossover applied to bio-control scheduling. 638-645 - Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge:
A hybrid genetic algorithm for constrained optimization problems in mechanical engineering. 646-653 - Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Carlos A. Coello Coello:
Constraint handling techniques for a non-parametric real-valued estimation distribution algorithm. 654-661 - Efrén Mezura-Montes, Blanca Cecilia López-Ramírez:
Comparing bio-inspired algorithms in constrained optimization problems. 662-669 - Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
A bi-population PSO with a shake-mechanism for solving constrained numerical optimization. 670-676 - Elizabeth F. Wanner, Frederico G. Guimarães, Ricardo H. C. Takahashi, Peter J. Fleming:
Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems. 677-683
Evolutionary Data Mining - Part II
- Augusto de Almeida Prado G. Toracio, Aurora Trinidad Ramirez Pozo:
Multiple objective particle swarm for classification-rule discovery. 684-691 - Rui Huang, Mingyi He:
Feature selection using Double Parallel Feedforward Neural Networks and Particle Swarm Optimization. 692-696 - Sriparna Saha, Sanghamitra Bandyopadhyay:
On some symmetry based validity indices. 697-704 - Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. 705-712 - Maxim Shevertalov, Edward Stehle, Spiros Mancoridis:
A genetic algorithm for solving the binning problem in networked applications detection. 713-720 - Bijan Bihari Misra, Bijaya N. Biswal, Pradipta K. Dash, Ganapati Panda:
Simplified Polynomial Neural Network for classification task in data mining. 721-728
Evolutionary Techniques for Decentralized and P2P Systems
- Saikat Mukherjee, Srinath Srinivasa, Sanket Patil:
Emergent (Re)optimization for stream queries in grids. 729-735 - T. S. Ellis, Xin Yao:
Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach. 736-743 - Martin Kelly, Giovanna Di Marzo Serugendo:
Decentralised car traffic control using message propagation optimized with a genetic algorithm. 744-750 - Muhammad Saleem, Muddassar Farooq:
A framework for empirical evaluation of nature inspired routing protocols for wireless sensor networks. 751-758 - Yusuke Iwase, Reiji Suzuki, Takaya Arita:
Evolutionary search for cellular automata that exhibit self-organizing properties induced by external perturbations. 759-765 - Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda:
Performance variation due to interference among a large number of self-interested agents. 766-773
Evolutionary Computation in Finance and Economics - Part III
- Dipti Srinivasan, Chen-Khong Tham, Chengyu Wu:
Co-Evolutionary algorithms for evolving buyers' bidding strategies in an electrival power market. 774-781 - Jonathan Duke, Christopher D. Clack:
Evolutionary simulation of hedging pressure in futures markets. 782-789 - Alma Lilia García-Almanza, Edward P. K. Tsang:
Repository method to suit different investment strategies. 790-797 - Adam Ghandar, Zbigniew Michalewicz, Martin Schmidt, Thuy-Duong Tô, Ralf Zurbruegg:
A Computational Intelligence Portfolio Construction System for Equity Market Trading. 798-805 - Por-Shen Lai, Hsin-Chia Fu:
A polygon description based similarity measurement of stock market behavior. 806-812 - Suneer Patel, Christopher D. Clack:
ALPS evaluation in financial portfolio optimisation. 813-819
Coevolution & Collective Behavior
- Ofer M. Shir, Michael Emmerich, Thomas Bäck:
Self-Adaptive Niching CMA-ES with Mahalanobis Metric. 820-827 - Chun-Kit Au, Ho-fung Leung:
Biasing mutations in cooperative coevolution. 828-835 - Hiroki Sagara, Jun Tanimoto:
A study on social diffusive impacts of a novel car-navigation-system sharing individual information in Urban traffic systems. 836-842 - Tao Gong, James W. Minett, William S.-Y. Wang:
A simulative study of the roles of cultural transmission in language evolution. 843-850 - Sebastian von Mammen, Christian Jacob:
Genetic swarm grammar programming: Ecological breeding like a gardener. 851-858 - Özer Ciftcioglu, I. Sevil Sariyildiz, Michael S. Bittermann:
Building performance analysis supported by GA. 859-866
Computational Systems Biology
- Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Emergence of feedback in artificial gene regulatory networks. 867-874 - Dominique F. Chu:
Evolving genetic regulatory networks for systems biology. 875-882 - Luca Bianco, Vincenzo Manca, Luca Marchetti, Michele Petterlini:
Psim: a simulator for biomolecular dynamics based on P systems. 883-887 - Rié Komuro, Joel H. Reynolds, E. David Ford:
Using the pareto frontier to detect deficiencies in a biological simulation model. 888-895 - Andreas Dräger, Marcel Kronfeld, Jochen Supper, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell:
Benchmarking evolutionary algorithms on convenience kinetics modelsof the valine and leucine biosynthesis in C. glutamicum. 896-903 - Cheng-Long Chuang, Chung-Ming Chen, Grace S. Shieh, Joe-Air Jiang:
A neuro-fuzzy inference system to infer gene-gene interactions based on recognition of microarray gene expression patterns. 904-910
Constraint & Uncertainty Handling
- David A. Daum, Kalyanmoy Deb, Jürgen Branke:
Reliability-based optimization for multiple constraints with evolutionary algorithms. 911-918 - Dhish Kumar Saxena, Kalyanmoy Deb:
Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. 919-926 - Chun Yew Cheong, C. J. Lin, Kay Chen Tan, Dikai Liu:
A multi-objective evolutionary algorithm for berth allocation in a container port. 927-934 - Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich:
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems. 935-942 - Chixin Xiao, Zixing Cai, Yong Wang:
A good nodes set evolution strategy for constrained optimization. 943-950 - Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonchi, Naser Pariz:
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation. 951-956
Evolutionary Computation in Space
- Victor M. Becerra, Slawomir J. Nasuto, J. Anderson, Matteo Ceriotti, C. Bombardelli:
Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvres. 957-964 - I. Carnelli, Bernd Dachwald, Massimiliano Vasile:
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers. 965-972 - Matteo Rosa Sentinella:
Comparison and integrated use of differential evolution and genetic algorithms for space trajectory optimisation. 973-978 - Christie Alisa Maddock, Massimiliano Vasile:
Optimal design for a NEO tracking spacecraft formation. 979-986 - Yi Chen, Matthew P. Cartmell:
Multi-objective optimisation on motorised momentum exchange tether for payload orbital transfer. 987-993 - Shuyan Wang, Changwen Zheng, Yuxin Wang:
A Time-Fuel optimal for spacecraft formation reconfiguration. 994-998
Evolutionary Intelligent Agents
- Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan:
An agent-based memetic algorithm (AMA) for solving constrained optimazation problems. 999-1006 - Kwang Mong Sim, Yuanyuan Guo, Benyun Shi:
Adaptive bargaining agents that negotiate optimally and rapidly. 1007-1014 - Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. 1015-1022 - Shinji Eto, Shingo Mabu, Kotaro Hirasawa, Takayuki Huruzuki:
Genetic Network Programming with control nodes. 1023-1028 - Maciej A. Mazurowski, Jacek M. Zurada:
Solving decentralized multi-agent control problems with genetic algorithms. 1029-1034 - Bo An, Kwang Mong Sim, Victor R. Lesser:
Evolving the best-response strategy to decide when to make a proposal. 1035-1042
Evolutionary Algorithms Based on Probabilistic Models - Part III
- Yoshihiko Hasegawa, Hitoshi Iba:
Estimation of distribution algorithm based on probabilistic grammar with latent annotations. 1043-1050 - Carlos Echegoyen, José Antonio Lozano, Roberto Santana, Pedro Larrañaga:
Exact Bayesian network learning in estimation of distribution algorithms. 1051-1058 - Jirí Jaros, Josef Schwarz:
Parallel BMDA with probability model migration. 1059-1066 - Christopher K. Monson, Kevin D. Seppi, James L. Carroll:
A Utile Function Optimizer. 1067-1074 - Yi Hong, Sam Kwong, Qingsheng Ren, Xiong Wang:
Over-Selection: An attempt to boost EDA under small population size. 1075-1082 - Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild:
Influence of selection and replacement strategies on linkage learning in BOA. 1083-1090
Plenary Poster Session I
- Marko Privosnik:
Sealability in evolved multi-agent systems. 1091-1096 - Garrison W. Greenwood, Hussein A. Abbass:
A new local search algorithm for continuous spaces based on army ant swarm raids. 1097-1102 - Ajith Abraham, Amit Konar, Nayan R. Samal, Swagatam Das:
Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules. 1103-1108 - Vitorino Ramos, Carlos M. Fernandes, Agostinho C. Rosa, Ajith Abraham:
Computational chemotaxis in ants and bacteria over dynamic environments. 1109-1117 - Berna Dengiz, Fulya Altiparmak, Onder Belgin:
A hybrid ant colony optimization approach for the design of reliable networks. 1118-1125 - Latif Polat, Adnan Acan, Ahmet Ünveren:
Cooperative coevolutionary algorithms for fuzzy vehicular routing problem: An analysis of efficiency vs. geographical distribution. 1126-1132 - Satoshi Ono, Yusuke Hirotani, Shigeru Nakayama:
Multiple solution search based on hybridization of real-coded evolutionary algorithm and quasi-newton method. 1133-1140 - Steven Orla Kimbrough, David Harlan Wood:
On gray-coded binary representation for supporting a (repair-by-interpolation) genetic operator for constrained Optimization Problems. 1141-1148 - K. Shingyochi, Hidemi Yamamoto, Yasuhiro Tsujimura, Yasushi Kambayashi:
Comparative study with several GAs for optimal component arrangement in a circular consecutiev-k-out-of-n: F system. 1149-1155 - Donald Davendra, Godfrey C. Onwubolu:
Enhanced differential evolution hybrid scatter search for discrete optimization. 1156-1162 - Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. 1163-1167 - Kiruthika Ramanathan, Sheng Uei Guan:
Evolutionary combinatorial optimization for recursive supervised learning with clustering. 1168-1174 - Yuichi Nagata:
Efficient evolutionary algorithm for the vehicle routing problem with time windows: edge assembly crossover for the VRPTW. 1175-1182 - Miyuki Shibasaka, Akira Hara, Takumi Ichimura, Tetsuyuki Takahama:
Species-based differential evolution with switching search strategies for multimodal function optimization. 1183-1190 - Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization problem solving framework employing GAs with linkage identification over a grid environment. 1191-1198 - Xiang Feng, Francis C. M. Lau:
A Parallel evolutionary approach to multi-objective optimization. 1199-1206 - W. J. Tang, Q. H. Wu, Jon R. Saunders:
A bacterial swarming algorithm for global optimization. 1207-1212 - Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph Holden, Mike Kirkby:
Adaptive farming strategies for dynamic economic environment. 1213-1220 - Kok Siong Lum, Minh Nhut Nguyen, Duan Shi:
GA based FCMAC-BYY model for bank solvency analysis. 1221-1225 - Hiok Chai Quek, Philip Y. K. Cheng, A. Jain:
Predicting impact of news on stock price: An evaluation of neuro fuzzy systems. 1226-1233 - Napat Harnpornchai, Nopasit Chakpitak, Tirapot Chandarasupsang, Tuang-Ath Chaikijkosi, Keshav P. Dahal:
Dynamic adjustment of age distribution in Human Resource Management by genetic algorithms. 1234-1239 - Abdelkader Heni, Adel M. Alimi:
Approximate inference in dynamic possibilistic networks. 1240-1246 - Hui Liu, Zixing Cai, Yong Wang:
A new constrained optimization evolutionary algorithm by using good point set. 1247-1254 - Sanyou Zeng, Hui Shi, Hui Li, Guang Chen, Lixin Ding, Lishan Kang:
A lower-dimensional-search evolutionary algorithm and its application in constrained optimization problems. 1255-1260 - Emiliano Carreño Jara, Guillermo Leguizamón, Neal Wagner:
Evolution of classification rules for comprehensible knowledge discovery. 1261-1268 - Thomas Buchsbaum:
Toward a winning GP strategy for continuous nonlinear dynamical system identification. 1269-1275 - Xiuju Fu, Christina Liew, Harold Soh, Gary Kee Khoon Lee, Terence Hung, Lee-Ching Ng:
Time-series infectious disease data analysis using SVM and genetic algorithm. 1276-1280 - Cuong To, Jiri Vohradsky:
Binary classification using parallel genetic algorithm. 1281-1287 - Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corrêa da Rosa, Anselmo Chaves Neto:
The boosting technique using correlation coefficient to improve time series forecasting accuracy. 1288-1295 - Anirban Mukhopadhyay, Ujjwal Maulik:
Multiobjective approach to categorical data clustering. 1296-1303 - Rikard König, Ulf Johansson, Lars Niklasson:
Genetic programming - a tool for flexible rule extraction. 1304-1310 - Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Mining association rules from databases with continuous attributes using genetic network programming. 1311-1317 - Yan Zhang, Feng Yang, YongXuan Huang:
A novel selection-learning algorithm for multi-satellite scheduling problems. 1318-1324 - Chiung Moon, YoungSu Yun, Choonseong Leem:
Evolutionary algorithm based on topological sort for precedence constrained sequencing. 1325-1332 - Ivan Sekaj, Juraj Perkacz:
Some aspects of parallel genetic algorithms with population re-initialization. 1333-1338 - Ivan Sekaj, Juraj Perkacz:
Genetic programming - based controller design. 1339-1343 - George G. Mitchell, Barry McMullin, James Decraene:
A cost benefit operator for efficient multi level genetic algorithm searches. 1344-1350 - Lukas Dolivka, Jirí Hospodka:
Using deferential evolution algorithm for the multi-objective optimization of a switched-current circuit. 1351-1358 - Masao Arakawa:
Range juggling for better convergence in genetic range genetic algorithms. 1359-1365 - Juan C. Quiroz, Sushil J. Louis, Anil Shankar, Sergiu M. Dascalu:
Interactive Genetic Algorithms for User Interface Design. 1366-1373 - Jun Tanimoto:
Emergence of cooperation supported by communication in a one-shot 2×2 game. 1374-1381 - Timo Mantere, Janne Koljonen:
Solving, rating and generating Sudoku puzzles with GA. 1382-1389 - Simon E. Parkin, Peter Andras, Graham Morgan:
Evolutionary optimization of parameters for distributed virtual environments. 1390-1397 - Joseph Qualls, Max H. Garzon, David J. Russomanno:
Neural-based agents cooperate to survive in the defend and gather computer game. 1398-1402 - Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras:
A hybrid hopfield network-genetic algorithm approach for the lights-up puzzle. 1403-1407 - Matteo Casadei, Ronaldo Menezes, Mirko Viroli, Robert Tolksdorf:
Self-organized over-clustering avoidance in tuple-space systems. 1408-1415 - Jinshu Li, Heyong Wang, Jing Liu, Licheng Jiao:
Solving SAT problem with a multiagent evolutionary algorithm. 1416-1422 - Ketan Kotecha, Sonal Popat:
Multi objective genetic algorithm based adaptive QoS routing in MANET. 1423-1428 - Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. 1429-1435 - Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu:
Concerning the potential of evolutionary support vector machines. 1436-1443 - Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. 1444-1449 - Yoshinobu Watanabe, Tomohiro Yoshikawa, Takeshi Furuhashi:
A study on application of fitness inference method to PC-IGA. 1450-1455 - Hironobu Sasaki, Naoyuki Kubota:
Behavior learning of multiple mobile robots based on spiking neural networks with a parallel genetic algorithm. 1456-1461 - Tadahiko Murata, Yusuke Aoki:
Developing control table for multiple agents using GA-Based Q-learning with neighboring crossover. 1462-1467 - Huanhuan Chen, Xin Yao:
Evolutionary random neural ensembles based on negative correlation learning. 1468-1474 - Jack Mario Mingo, Ricardo Aler:
Grammatical evolution guided by reinforcement. 1475-1482 - Sergey Kornienko, Olga Kornienko, A. Nagarathinam, Paul Levi:
From real robot swarm to evolutionary multi-robot organism. 1483-1490 - Naoyuki Kubota, Yu Tomioka:
Evolutionary robot vision for human tracking of partner robots in ambient intelligence. 1491-1496 - Naoyuki Kubota, Toshiyuki Shimizu:
Trajectory generation based on a steady-state genetic algorithm for imitative learning of a partner robot. 1497-1502 - Emmanouil Hourdakis, Michail Maniadakis, Panos E. Trahanias:
A biologically inspired approach for the control of the hand. 1503-1510 - Sergiu Goschin, Eduard Franti, Monica Dascalu, Sandra Osiceanu:
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots. 1511-1516 - Roman Neruda:
Evolving neural network which control a robotic agent. 1517-1522 - Jiaqi Zhang, Qijun Chen:
Learning based gaits evolution for an AIBO dog. 1523-1526 - Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry Ghidary:
Mobile robot global localization using differential evolution and particle swarm optimization. 1527-1534 - Indra Adji Sulistijono, Naoyuki Kubota:
Evolutionary robot vision and particle swarm optimization for Multiple human heads tracking of a partner robot. 1535-1541 - Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano, Luigi Salvatore:
Compact GAs for neural network online training in tubular linear motor control. 1542-1547 - Elhadj Benkhelifa, Anthony G. Pipe, Gabriel Dragffy, Mokhtar Nibouche:
Towards evolving fault tolerant biologically inspired hardware using evolutionary algorithms. 1548-1554 - P. Nirmal Kumar, S. Anandhi, J. Raja Paul Perinbam:
Evolving virtual reconfigurable circuit for a fault tolerant system. 1555-1561 - Alexandros Agapitos, Julian Togelius, Simon M. Lucas:
Multiobjective techniques for the use of state in genetic programming applied to simulated car racing. 1562-1569 - Phillip Wong, Mengjie Zhang:
Effects of program simplification on simple building blocks in Genetic Programming. 1570-1577 - Alvin Cai, Chai Quek, Douglas L. Maskell:
Type-2 GA-TSK fuzzy neural network. 1578-1585 - Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun:
Multi-objective evolutionary Recurrent Neural Networks for system identification. 1586-1592 - Ernest Lumanpauw, Michel Pasquier, Richard Jayadi Oentaryo:
Generic GA-based meta-level parameter optimization for pattern recognition systems. 1593-1600 - Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Ramin Halavati, Caro Lucas:
Evolving fuzzy classifiers using a symbiotic approach. 1601-1607 - Lotika Singh, Satish Kumar:
Migration based parallel differential evolution learning in Asymmetric Subsethood Product Fuzzy Neural Inference System: A simulation study. 1608-1613 - Hak-Keung Lam, Sai-Ho Ling, Herbert H. C. Iu, Chun Wan Yeung, Frank H. F. Leung:
Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm. 1614-1619 - Roman Neruda:
Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. 1620-1627 - Eu Jin Teoh, Cheng Xiang:
A global-local hybrid Evolutionary Strategy (ES) for Recurrent Neural Networks (RNNs) in system identification. 1628-1635 - Babita Majhi, Ganapati Panda:
Bacterial foraging based identification of nonlinear dynamic system. 1636-1641 - France Cheong:
A hierarchical fuzzy system with high input dimensions for forecasting foreign exchange rates. 1642-1647 - Sanjay K. Sharma, George W. Irwin, Robert Sutton:
Fuzzy logic for priority based genetic search in evolving a neural network architecture. 1648-1653 - Ji-Xiang Du, De-Shuang Huang, Zengfu Wang:
Pattern classification with a PSO optimization based elliptical basis function neural networks. 1654-1661 - Zhong-Qiu Zhao, De-Shuang Huang:
An evolutionary modular neural network for unbalanced pattern classifications. 1662-1669 - Jian-Xin Xu, J. S. Lim:
A new Evolutionary Neural Network for forecasting net flow of a car sharing system. 1670-1676 - Teck Wee Chua, Woei Wan Tan:
GA optimisation of Non-Singleton Fuzzy Logic System for ECG classification. 1677-1684 - Fulya Altiparmak, Ismail Karaoglan:
A genetic ant colony optimization approach for concave cost transportation problems. 1685-1692 - Jingsong He, Zhenyu Yang, Xin Yao:
Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation. 1693-1700 - Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
A Hybrid Evolutionary Algorithm With Simplex Local Search. 1701-1708 - Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki:
Hybrid optimization using DIRECT, GA, and SQP for global exploration. 1709-1716 - C. Dürr, Tim Fühner, Ponnuthurai N. Suganthan:
LisBON: A framework for parallelisation and hybridisation of optimisation algorithms. 1717-1724 - André Gustavo dos Santos, Geraldo Robson Mateus:
Crew scheduling urban problem: an exact column generation approach improved by a genetic algorithm. 1725-1731 - David J. Cornforth:
An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system. 1732-1739 - P. G. Balaji, G. Sachdeva, Dipti Srinivasan, Chen-Khong Tham:
Multi-agent System based Urban Traffic Management. 1740-1747 - Yonas G. Woldesenbet, Gary G. Yen:
Dynamic evolutionary algorithm with variable relocation vectors. 1748-1755 - Yoshiyuki Matsumura, Kazuhiro Ohkura, Yoshiki Matsuura, Masashi Oiso, Noriyuki Fujimoto, Kenichi Hagihara:
Grid task scheduling algorithm R3Q for evolution strategies. 1756-1763 - Salwani Abdullah, Edmund K. Burke, Barry McCollum:
A hybrid evolutionary approach to the university course timetabling problem. 1764-1768 - Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Abraham:
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence. 1769-1776
Real-World Applications - Part I
- Hirotaka Kaji, Hajime Kita:
Acceleration of Experiment-Based Evolutionary Multi-objective Optimization of internal-combustion engine controllers using fitness estimation. 1777-1784 - Yi Hu, Peter J. Thomas, Russel J. Stonier:
Traffic signal control using fuzzy logic and evolutionary algorithms. 1785-1792 - Rafael Ramírez, Montserrat Puiggròs:
An evolutionary computation approach to cognitive states classification. 1793-1799 - Yuji Sato, Yuhki Inoue, Yosuke Yasuda:
Applying GA to self-allotment of rewards in event-driven hybrid learning classifier systems. 1800-1807 - Juan-Carlos Gomez, Olac Fuentes:
Using Evolution Strategies to perform stellar population synthesis for galaxy spectra from SDSS. 1808-1814 - Qian Zhang, Mahdi Mahfouf:
A new Reduced Space Searching Algorithm (RSSA) and its application in optimal design of alloy steels. 1815-1822
Molecular Computing for Information Processing and Self-Assembly
- Zuwairie Ibrahim, Tri Basuki Kurniawan, Marzuki Khalid:
A DNA sequence design for molecular computation of HPP with output visualization based on real-time PCR. 1823-1828 - Zuwairie Ibrahim, Muhammad Faiz Mohamed Saaid, Ali S. Paramita, Akira Suyama, John A. Rose:
An improved readout method of molecular computation based on real-time PCR implemented on DNA Engine Opticon 2 System. 1829-1834 - Joseph Ibershoff, Jerzy W. Jaromczyk, Danny van Noort:
Making the SAT decision Based on a DNA Computation. 1835-1842 - Masayuki Yamamura, Noriko Hirayama, Ken Komiya:
An implementation of Aqueous memory molecules with light responsive DNAs. 1843-1848 - L. Jeganathan, Kamala Krithivasan, Raghavan Rama:
Self-assembly of graphs. 1849-1855 - Joo-Kyung Kim, Byoung-Tak Zhang:
Evolving hypernetworks for pattern classification. 1856-1862
Theory of Evolutionary Computation - Part I
- Bakir Lacevic, Samim Konjicija, Zikrija Avdagic:
Population diversity measure based on singular values of the distance matrix. 1863-1869 - Pietro S. Oliveto, Jun He, Xin Yao:
Evolutionary algorithms and the Vertex Cover problem. 1870-1877 - S. Y. Zhao, Kwok Yip Szeto:
Combining exhaustive search with evolutionary computation via computational resource allocation. 1878-1881 - Per Kristian Lehre, Xin Yao:
Runtime analysis of (1+l) EA on computing unique input output sequences. 1882-1889 - Benjamin Doerr, Edda Happ, Christian Klein:
A tight analysis of the (1 + 1)-EA for the single source shortest path problem. 1890-1895 - Jin Yin, Wei Chen, Yun Li:
Evolutionary computation enabled game theory based modelling of electricity market behaviours and applications. 1896-1903
Differential Evolution - Part I
- Anyong Qing:
A parametric study on differential evolution based on benchmark electromagnetic inverse scattering problem. 1904-1909 - Prathyush P. Menon, Declan G. Bates, Ian Postlethwaite:
Deterministic versus evolutionary optimisation methods for nonlinear robustness analysis of flight control laws. 1910-1917 - Chukiat Worasucheep:
A new self adaptive differential evolution: Its application in forecasting the index of Stock Exchange of Thailand. 1918-1925 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Annealed Differential Evolution. 1926-1933 - Olusegun Olorunda, Andries P. Engelbrecht:
Differential evolution in high-dimensional search spaces. 1934-1941 - Andries P. Engelbrecht, Gary Pampara:
Binary differential evolution strategies. 1942-1947
Particle Swarm Intelligence
- Mihaela Breaban, Madalina Ionita, Cornelius Croitoru:
A new PSO approach to constraint satisfaction. 1948-1954 - Riccardo Poli, Dan Brattonx, Tim Blackwell, James Kennedy:
Theoretical derivation, analysis and empirical evaluation of a simpler Particle Swarm Optimiser. 1955-1962 - Xiao-Ian Zhuo, Jun Zhang, Wei-neng Chen:
A new pheromone design in ACS for solving JSP. 1963-1969 - Adham Atyabi, Somnuk Phon-Amnuaisuk:
Particle swarm optimization with area extension (AEPSO). 1970-1976 - Sai-Ho Ling, Chun Wan Yeung, Kit Yan Chan, Herbert H. C. Iu, Frank H. F. Leung:
A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation. 1977-1984 - Nguyen Quang Uy, Nguyen Xuan Hoai, Robert I. McKay, Pham Minh Tuan:
Initialising PSO with randomised low-discrepancy sequences: the comparative results. 1985-1992
Evolutionary Design
- A. Bourmistrova, S. Khantis:
Control system design optimisation via genetic programming. 1993-2000 - Germán Terrazas, Marian Gheorghe, Graham Kendall, Natalio Krasnogor:
Evolving tiles for automated self-assembly design. 2001-2008 - Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Thorsten Schnier:
Target shape design optimization by evolving splines. 2009-2016 - Gregory Hornby:
Measuring complexity by measuring structure and organization. 2017-2024 - Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Double-deck elevator systems using Genetic Network Programming with reinforcement learning. 2025-2031 - Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan, William Donnelly:
A multi-layered solution for supporting isp traffic demand using genetic algorithm. 2032-2039
Memetic & Hybrid Algorithms
- Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. 2040-2047 - Andrea Arcuri, Xin Yao:
A Memetic Algorithm for test data generation of Object-Oriented software. 2048-2055 - Massimiliano Vasile:
A behavioral-based meta-heuristic for robust global trajectory optimization. 2056-2063 - DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
Training of Multi-Branch Neural Networks using RasID-GA. 2064-2070 - Kareem Shaker, David Corne, Richard M. Everson:
Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution. 2071-2077 - Adnan Acan, Ahmet Ünveren:
A shared-memory ACO+GA hybrid for combinatorial optimization. 2078-2085
Multiobjective Optimization
- Dimo Brockhoff, Eckart Zitzler:
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. 2086-2093 - Yosuke Iijima, Masahiro Murakawa, Yuji Kasai, Eiichi Takahashi, Tetsuya Higuchi:
Proposal of transmission line modeling using multi-objective optimization techniques. 2094-2100 - Gideon Avigad, Kalyanmoy Deb:
The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. 2101-2108 - Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep Dutta:
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. 2109-2116 - Gideon Avigad:
A simultaneous EMO for the solution of the multi-Multi-Objective Optimization Problem. 2117-2124 - Kalyanmoy Deb, Abhay Kumar:
Light beam search based multi-objective optimization using evolutionary algorithms. 2125-2132
Genetics-Based Machine Learning
- Larry Bull, Toby O'Hara, Pier Luca Lanzi:
Anticipation mappings for learning classifier systems. 2133-2140 - Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi:
Support vector machines for computing action mappings in learning classifier systems. 2141-2148 - Pier Luca Lanzi:
An analysis of generalization in XCS with symbolic conditions. 2149-2156 - Cristiano Grijó Pitangui, Gerson Zaverucha:
Improved natural crossover operators in GBIVIL. 2157-2164 - Amit Banerjee, Sushil J. Louis:
A recursive clustering methodology using a genetic algorithm. 2165-2172 - Robert Elliott Smith, Max Kun Jiang:
A learning classifier system with mutual-information-based fitness. 2173-2180
Theory of Evolutionary Computation - Part II
- Ekaterina Smorodkina, Daniel R. Tauritz:
Greedy Population Sizing for Evolutionary Algorithms. 2181-2187 - Markus Borschbach, Winfried Dreckmann:
On the role of an evolutionary solution for the brachistochrone-problem. 2188-2193 - Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
Real-coded ECGA for solving decomposable real-valued optimization problems. 2194-2201 - Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
Performance tuning of genetic algorithms with reserve selection. 2202-2209 - Hsinyi Jiang, Carl K. Chang, Dan Zhu, Shuxing Cheng:
A foundational study on the applicability of genetic algorithm to software engineering problems. 2210-2219 - Jingqiao Zhang, Arthur C. Sanderson:
An approximate gaussian model of Differential Evolution with spherical fitness functions. 2220-2228
Differential Evolution - Part II
- Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Quasi-oppositional Differential Evolution. 2229-2236 - Mahamed G. H. Omran, Andries P. Engelbrecht:
Differential evolution for integer programming problems. 2237-2242 - Andrew Koh:
Solving transportation bi-level programs with Differential Evolution. 2243-2250 - Jingqiao Zhang, Arthur C. Sanderson:
JADE: Self-adaptive differential evolution with fast and reliable convergence performance. 2251-2258 - Teng Nga Sing, Jason Teo, Mohd. Hanafi Ahmad Hijazi:
Empirical testing on 3-Parents Differential Evolution (3PDE) for unconstrained function optimization. 2259-2266 - Xingshi He, Lin Han:
A novel binary differential evolution algorithm based on artificial immune system. 2267-2272
New Particle Swarm Optimization Methods
- Christian Veenhuis, Mario Köppen, Raul Vicente-Garcia:
Evolutionary multi-objective optimization of Particle Swarm Optimizers. 2273-2280 - Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal:
Adaptive mufti-objective particle swarm optimization algorithm. 2281-2288 - Peng-Yeng Yin, Fred W. Glover, Manuel Laguna, Jia-Xian Zhu:
Scatter PSO - A more effective form of Particle Swarm Optimization. 2289-2296 - Andries P. Engelbrecht, L. N. H. van Loggerenberg:
Enhancing the NichePSO. 2297-2302 - Ying Tan, Z. M. Xiao:
Clonal particle swarm optimization and its applications. 2303-2309 - Yu-Xuan Wang, Zhen-Dong Zhao, Ran Ren:
Hybrid particle swarm optimizer with tabu strategy for global numerical optimization. 2310-2316
Evolutionary Computation for Power Engineering Applications ? Part I
- B. Sumanbabu, Sukumar Mishra, Bijaya Ketan Panigrahi, Ganesh K. Venayagamoorthy:
Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm. 2317-2324 - Chao-Lung Chiang:
Efficient trade-off algorithm for hydrothermal power systems. 2325-2330 - S. Mishra, G. Dilip Redely, P. Eswar Rao, K. Santosh:
Implementation of new evolutionary techniques for transmission loss reduction. 2331-2336 - Ke Meng, Rui Xia, Ting Ji, Feng Qian:
Electricity reference price forecasting with Fuzzy C-means and Immune Algorithm. 2337-2343 - Z. Lu, Mengshi Li, W. J. Tang, Q. H. Wu:
Optimal location of FACTS devices by a Bacterial Swarming Algorithm for reactive power planning. 2344-2349 - V. Subrarnanyam, Dipti Srinivasan, R. Oniganti:
A Dual layered PSO Algorithm for evolving an Artificial Neural Network controller. 2350-2357
Memetic Algorithms - Part I
- Annemari Auvinen, Teemu Keltanen, Mikko Vapa:
Topology management in unstructured P2P networks using neural networks. 2358-2365 - Anna V. Kononova, Kevin J. Hughes, Mohamed Pourkashanian, Derek B. Ingham:
Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics. 2366-2373 - Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen, Tuomo Rossi:
Fitness diversity based adaptation in Multimeme Algorithms: A comparative study. 2374-2381 - Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan, Yun-Chia Liang:
A genetic algorithm for the generalized traveling salesman problem. 2382-2389 - Quang Huy Nguyen, Yew-Soon Ong, Natalio Krasnogor:
A study on the design issues of Memetic Algorithm. 2390-2397 - Anh-Duc Do, Siu-Yeung Cho:
Memetic Algorithm based fuzzy clustering. 2398-2404
Real-World Applications - Part II
- Jin-Myung Won, Fakhreddine Karray:
A Genetic Algorithm with cycle representation and contraction digraph model for Guideway Network design of Personal Rapid Transit. 2405-2412 - Koji Shimoyama, Jin Ne Lim, Shinkyu Jeong, Shigeru Obayashi, Masataka Koishi:
An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining. 2413-2420 - Subramaniam Parasuraman, Velappa Ganapathy, Bijan Shirinzadeh:
Multiple sensors data integration using MFAM for mobile robot navigation. 2421-2427 - Rolf Dornberger, Lukas Frey, Claudia Schmid:
Use of a genetic algorithm in a distributed resource management software. 2428-2434 - Alistair Sedwell, Ian C. Parmee:
Techniques for the design of molecules and combinatorial chemical libraries. 2435-2442 - Debiprasad Priyabrata Acharya, Ganapati Panda, Y. V. S. Lakshmi:
Constrained genetic algorithm based independent component analysis. 2443-2449
Artificial Life
- Chi-Ho Lee, Kang-Hee Lee, Jong-Hwan Kim:
Evolutionary multi-objective optimization for generating artificial creature's personality. 2450-2455 - Emmanuel Sapin, Larry Bull, Andrew Adamatzky:
A Genetic approach to search for glider guns in cellular automata. 2456-2462 - David Newth, David Cornforth:
Asynchronous spatial evolutionary games: spatial patterns, Diversity and Chaos. 2463-2470 - Andrea Soltoggio, Peter Dürr, Claudio Mattiussi, Dario Floreano:
Evolving neuromodulatory topologies for reinforcement learning-like problems. 2471-2478 - Xingwei Wang, Lin Han, Min Huang:
A game theory and bcc based flexible qos unicast routing scheme. 2479-2484 - Gunnar Tufte, Pauline C. Haddow:
Achieving environmental tolerance through the initiation and exploitation of external information. 2485-2492
Evolutionary Learning Systems
- Nan Liu, Han Wang:
Extraction of hybrid trace features with evolutionary computation for face recognition. 2493-2500 - Robert I. McKay, Jungseok Shin, Tuan Hao Hoang, Nguyen Xuan Hoai, Naoki Mori:
Using compression to understand the distribution of buildingblocks ingenetic programming populations. 2501-2508 - Kamran Shafi, Hussein A. Abbass, Weiping Zhu:
Real time signature extraction from a supervised classifier system. 2509-2516 - Naoyuki Kubota, Yu Tomioka:
Learnability in human gesture recognition for a partner robot based on computational intelligence. 2517-2522 - Henrique Castro Neto, Rita Maria da Silva Julia:
LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. 2523-2529 - Marko Privosnik:
The scalability of evolved on line bin packing heuristics. 2530-2537
Computational Finance & Economics
- Huayang Xie, Mengjie Zhang, Peter Andreae:
Genetic Programming for New Zealand CPI Inflation Prediction. 2538-2545 - Guilan Zhi, Shigeyoshi Watanabe:
Comparison of discriminatory pricing and uniform pricing rules in electricity markets using an agent model with risk consideration. 2546-2553 - Ernest Lumanpauw, Michel Pasquier, Chai Quek:
MNFS-FPM: A novel memetic neuro-fuzzy system based financial portfolio management. 2554-2561 - Yukiko Orito, Hisashi Yamamoto:
Index fund optimization using a genetic algorithm and a heuristic local search algorithm on scatter diagrams. 2562-2568 - Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo, Pradipta K. Dash, Debi Prasad Das:
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique. 2569-2575 - Shuo Yao, Michel Pasquier, Chai Quek:
A foreign exchange portfolio management mechanism based on fuzzy neural networks. 2576-2583
Theoretical Foundations of Evolutionary Computation
- Cameron Skinner, Patricia J. Riddle:
Random search can outperform mutation. 2584-2590 - Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus, Frank Neumann:
A rigorous view on neutrality. 2591-2597 - Mario Graff, Riccardo Poli, Alberto Moraglio:
Linear selection. 2598-2605 - Boris Mitavskiy, Chris Cannings:
An improvement of the "quotient construction" method and further asymptotic results on the stationary distributions of the Markov chains modeling evolutionary algorithms. 2606-2613 - Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt:
On improving approximate solutions by evolutionary algorithms. 2614-2621 - Tobias Friedrich, Nils Hebbinghaus, Frank Neumann:
Plateaus can be harder in multi-objective optimization. 2622-2629
Cognitive Systems & Applications
- Geok See Ng, Chai Quek:
A computational intelligence system based on memory consolidation model. 2630-2635 - Tanasanee Phienthrakul, Boonserm Kijsirikul:
GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines. 2636-2643 - H. K. Phee, W. L. Tung, Chai Quek:
A personalized approach to insulin regulation using brain-inspired neural sematic memory in diabetic glucose control. 2644-2651 - Alex Chong, Kok Wai Wong:
On the Fuzzy Cognitive Map attractor distance. 2652-2657 - Abdul Wahab, Chai Quek, Sussan De:
Speech emotion recognition using auditory cortex. 2658-2664 - Pavol Malinak, Rudolf Jaksa:
Simultaneous gradient and evolutionary neural network weights adaptation methods. 2665-2671
Evolutionary Computation for Process Optimisation
- Kostas Vergidis, Ashutosh Tiwari, Basim Majeed:
Composite business processes: An evolutionary multi-objective optimization approach. 2672-2678 - Chris J. Turner, Ashutosh Tiwari:
An experimental evaluation of feedback loops in a business process mining genetic algorithm. 2679-2686 - Jörn Mehnen, Heike Trautmann, Ashutosh Tiwari:
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. 2687-2694 - Pravin Pawar, Hailiang Mei, Ing Widya, Bert-Jan van Beijnum, Aart van Halteren:
Context-aware task assignment in ubiquitous computing environment - A genetic algorithm based approach. 2695-2702 - Mike Preuss, Günter Rudolph, Feelly Tumakaka:
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection. 2703-2710 - Robert G. Reynolds, Mostafa Z. Ali:
Exploring knowledge and population swarms via an agent-based Cultural Algorithms Simulation Toolkit (CAT). 2711-2718
Evolutionary Computation for Power Engineering Applications - Part II
- Hongda Liu, Zhongli Ma:
Optimization of warship degaussing decision based on poly-population particle swarm algorithm. 2719-2724 - Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi:
Particle swarm optimization based neural-network model for hydro power plant dynamics. 2725-2731 - B. V. Babu, Ashish M. Gujarathi:
Multi-objective differential evolution (MODE) for optimization of supply chain planning and management. 2732-2739 - Nuo Xu, Minxing Huang, Fushuan Wen, Zhaoyang Dong:
Optimal parameter setting of performance based regulation with reward and penalty. 2740-2744 - Gang Lu, Fushuan Wen, Chi Yung Chung, Kit Po Wong:
Conditional Value-at-Risk based mid-term generation operation planning in electricity market environment. 2745-2750 - Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi:
Genetic programming approach for model structure determination of hydro turbine in closed loop operation. 2751-2757
Memetic Algorithms - Part II
- Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song:
Hierarchical model parallel memetic algorithm in heterogeneous computing environment. 2758-2765 - X. S. Chen, Meng-Hiot Lim, Donald C. Wunsch:
A Memetic Algorithm configured via a problem solving environment for the Hamiltonian Cycle problems. 2766-2773 - Konstantinos P. Ferentinos, Theodore A. Tsiligiridis:
A memetic algorithm for dynamic design of wireless sensor Networks. 2774-2781 - Alessandro Gandelli, Francesco Grimaccia, Marco Mussetta, Paola Pirinoli, Riccardo Enrico Zich:
Development and validation of different hybridization strategies between GA and PSO. 2782-2787 - Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima:
An empirical study on the specification of the local search application probability in multiobjective memetic algorithms. 2788-2795 - Kusum Deep, Dipti:
A new hybrid Self Organizing Migrating Genetic Algorithm for function optimization. 2796-2803
Real-World Applications - Part III
- Xiangrong Zhang, Licheng Jiao, Shuiping Gou:
SVMs ensemble for radar target recognition based on evolutionary feature selection. 2804-2808 - Boris Naujoks, Max Steden, Sven-Brian Müller, Jochen Hundemer:
Evolutionary optimization of ship propulsion systems. 2809-2816 - Mohammad Mehdi Korjani, Ahmad Afshar, Mohammad Bagher Menhaj, Mohammad Reza Rajati:
Optimal model detection in distributed sensor networks using genetic-fuzzy clustering. 2817-2821 - Na Zhang, Zuren Feng:
Cooperative ant colony optimization for multisatellite resource scheduling problem. 2822-2828 - Brad T. Skinner, Hung T. Nguyen, Dikai Liu:
Distributed classifier migration in xcs for classification of electroencephalographic signals. 2829-2836 - María Cristina Riff, Marcos Zúñiga:
Towards an immune system that solves CSP. 2837-2841
Plenary Poster Session II
- Marisol B. Correia, Carlos M. Fonseca:
How redundancy and neutrality may affect evolution on NK fitness landscapes. 2842-2849 - Omar S. Soliman, Lam Thu Bui, Hussein A. Abbass:
The effect of a stochastic step length on the performance of the differential evolution algorithm. 2850-2857 - Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed A. Salman:
Self-adaptive barebones differential evolution. 2858-2865 - Mukesh M. Raghuwanshi, O. G. Kakde:
Study of Operator's adaptability and scale-up study for RAGA. 2866-2871 - Wei-Chiang Hong, Young-Jou Lai, Ping-Feng Pai, Shao-Lun Lee, Shun-Lin Yang:
Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting. 2872-2878 - Boo Junyou:
Stock Price forecasting using PSO-trained neural networks. 2879-2885 - Shao-Lun Lee, Wei-Chiang Hong:
Using genetic algorithms to solve luggage typesetting problem. 2886-2892 - Tim A. Yates, Thorsten Schnier:
Non-separable fitness functions for evolutionary shape optimization benchmarking. 2893-2900 - Kit Yan Chan, Sai-Ho Ling, K. W. Chan, Herbert H. C. Iu, G. T. Y. Pong:
Solving multi-contingency transient stability constrained optimal power flow problems with an improved GA. 2901-2908 - Jin Ma, Zhao Yang Dong, Ren-mu He, David J. Hill:
Measurement-based Load Modeling using Genetic Algorithms. 2909-2916 - Nidul Sinha, Bipul Syam Purkayastha, Biswajit Purkayastha:
Hybrid PSO/self-adaptive improved EP for economic dispatch with nonsmooth cost function. 2917-2922 - Sheng How Goh, Zhao Yang Dong, Tapan Kumar Saha:
Locating voltage collapse points using evolutionary computation techniques. 2923-2930 - Qiang Zhang, Xueshan Han, Mingqiang Wang:
An effective method for total transfer capability calculation. 2931-2935 - Dayang Yu, Qiang Zhang, Xueshan Han, Jianguo Zhao:
TS-based generation and transmission maintenance scheduling. 2936-2941 - Mohammad Faisal Uddin, Anur M. Youssef:
Cryptanalysis of Pointcheval's identification scheme using ant colony optimization. 2942-2947 - Nianfeng F. Wang, Kang Tai:
A hybrid genetic algorithm for multiobjective structural optimization. 2948-2955 - Anupam Saxena, Nilesh D. Mankame:
Design for manufacture of optimal compliant topologies with honeycomb continuum representation. 2956-2963 - Azahar Tekchand Machwe, Ian C. Parmee:
Enabling generative behavior within an interactive evolutionary design system using a component-based representation. 2964-2971 - Liang Zhao, Fei-Yue Wang:
Design for self-organizing fuzzy neural networks using a novel hybrid learning algorithm. 2972-2979 - Yifeng Zhang, Kai-Yew Lum:
Integrated-optimal design of airplane and flight control using genetic algorithms. 2980-2987 - K. Srinivas, C. Patvardhan, D. Bhagwan Das:
A new elitist multi-objective stochastic search technique and its application to economic-emission dispatch problem in power systems. 2988-2995 - Bo Liu, Hannan Ma, Xuejun Zhang, Yan Zhou:
A memetic co-evolutionary differential evolution algorithm for constrained optimization. 2996-3002 - Deepak Sharma, Abhay Kumar, Kalyanmoy Deb, Karthik Sindhya:
Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. 3003-3010 - Abhay Kumar, Deepak Sharma, Kalyanmoy Deb:
A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. 3011-3018 - Karin Zielinski, Rainer Laur:
Adaptive parameter setting for a multi-objective particle swarm optimization algorithm. 3019-3026 - Olivier Teytaud, Anne Auger:
On the adaptation of noise level for stochastic optimization. 3027-3034 - Manuel Alfonseca, Manuel Cebrián, Alfonso Ortega:
A simple genetic algorithm for music generation by means of algorithmic information theory. 3035-3042 - Gustavo Peconick, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
Projection-based local search operator for multiple equality constraints within genetic algorithms. 3043-3049 - Thomas Michelitsch, Tobias Wagner, Dirk Biermann, Christian Hoffmann:
Designing memetic algorithms for real-world applications using self-imposed constraints. 3050-3057 - Hidemi Yamachi, Hisashi Yamamoto, Yasuhiro Tsujimura, Yasushi Kambayashi:
A solution method employing a multi-objective genetic algorithm to search for pareto solutions of series-parallel system component allocation problem. 3058-3064 - Ahmet Ünveren, Adnan Acan:
Multi-objective optimization with cross entropy method: Stochastic learning with clustered pareto fronts. 3065-3071 - T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan:
Improved MOCLPSO algorithm for environmental/economic dispatch. 3072-3076 - Yonas G. Woldesenbet, Biruk G. Tessema, Gary G. Yen:
Constraint handling in multi-objective evolutionary optimization. 3077-3084 - Bhupendra Kumar Pathak, Sanjay Srivastava:
MOGA-based time-cost tradeoffs: Responsiveness for project uncertainties. 3085-3092 - André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
A multiobjective non-linear dynamic programming approach for optimal biological control in soy farming via NSGA-II. 3093-3099 - Matthieu Basseur, Edmund K. Burke:
Indicator-based multi-objective local search. 3100-3107 - Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb:
NEMO: neural enhancement for multiobjective optimization. 3108-3113 - Xiuling Zhou, Chengyi Sun, Ning Mao, Wenjuan Li:
Generalization of HSO algorithm for computing hypervolume for multiobjective optimization problems. 3114-3118 - Khoi Le, Dario Landa Silva:
Obtaining Better Non-Dominated Sets Using Volume Dominance. 3119-3126 - Thomas Hanne:
A primal-dual multiobjective evolutionary algorithm for approximating the efficient set. 3127-3134 - Shih-Yuan Chiu, Tsung-Ying Sun, Sheng-Ta Hsieh, Cheng-Wei Lin:
Cross-searching strategy for multi-objective particle swarm optimization. 3135-3141 - R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi:
Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. 3142-3149 - Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni:
A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. 3150-3156 - Cheng-Long Chuang, Joe-Air Jiang:
Integrated radiation optimization: inspired by the gravitational radiation in the curvature of space-time. 3157-3164 - Saeed Tavakoli, Ian Griffin, Peter J. Fleming:
Multi-objective optimization approach to the PI tuning problem. 3165-3171 - Wen-Fung Leong, Gary G. Yen:
Dynamic swarms in PSO-based multiobjective optimization. 3172-3179 - C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. 3180-3186 - Juan Chen, Lihong Xu, Changliang Yuan:
IPGA based multi-objective compatible control algorithm and its application in oversaturated adjacent intersection control. 3187-3194 - Shashi Mittal, Kalyanmoy Deb:
Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms. 3195-3202 - Lucas Bradstreet, Lyndon While, Luigi Barone:
Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms. 3203-3210 - Leila Djerou, Mohamed Batouche, Nacer Khelil, Abdelwahab Zerarka:
Towards the best points of interpolation using particles swarm optimisation approach. 3211-3214 - Jun Zhang, De-Shuang Huang, KunHong Liu:
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. 3215-3220 - Ammar W. Mohemmed, Nirod Chandra Sahoo, Tan Kim Geok:
A new particle swarm optimization based algorithm for solving shortest-paths tree problem. 3221-3225 - Hamed Shah-Hosseini:
Problem solving by intelligent water drops. 3226-3231 - Woo-seok Jang, Hwan-il Kang, Byung-hee Lee, Kab il Kim, Dong-il Shin, Seung-chul Kim:
Optimized fuzzy clustering by predator prey particle swarm optimization. 3232-3238 - Shufeng Wang, Hong Zhu:
An experimental study of the emergent behaviors of self-organized agent communities. 3239-3246 - Mahamed G. H. Omran, Salah Al-Sharhan:
Barebones particle swarm methods for unsupervised image classification. 3247-3252 - Ganapati Panda, D. Mohanty, Babita Majhi, Gadadhar Sahoo:
Identification of nonlinear systems using particle swarm optimization technique. 3253-3257 - Shinichi Nakano, Atsushi Ishigame, Keiichiro Yasuda:
Particle swarm optimization based on the concept of tabu search. 3258-3263 - The Jin Ai, Voratas Kachitvichyanukul:
Dispersion and velocity indices for observing dynamic behavior of particle swarm optimization. 3264-3271 - Zhen Ji, Huilian Liao, Yiwei Wang, Q. H. Wu:
A novel intelligent particle optimizer for global optimization of multimodal functions. 3272-3275 - Zhi-hui Zhan, Jing Xiao, Jun Zhang, Wei-neng Chen:
Adaptive control of acceleration coefficients for particle swarm optimization based on clustering analysis. 3276-3282 - Wen-liang Zhong, Jun Zhang, Wei-neng Chen:
A novel discrete particle swarm optimization to solve traveling salesman problem. 3283-3287 - Takeshi Korenaga, Toshiharu Hatanaka, Katsuji Uosaki:
Performance improvement of particle swarm optimization for high-dimensional function optimization. 3288-3293 - Millie Pant, T. Radha, Ved Pal Singh:
A Simple Diversity Guided Particle Swarm Optimization. 3294-3299 - Bassem S. Rabil, Mona A. Fahmy, Gamal M. Aly:
Task allocation using inherited area density multiobjective particle Swarm Optimization. 3300-3307 - Wei-neng Chen, Jun Zhang, Yang Yu:
Workflow scheduling in grids: an ant colony optimization approach. 3308-3315 - Chunhua Zhao, Peng Chen:
Particle swarm optimization for optimal deployment of relay nodes in hybrid sensor networks. 3316-3320 - Ying-yin Lin, Ying-Ping Chen:
Crowd control with swarm intelligence. 3321-3328 - I-Tung Yang:
Pareto archived PSO optimization for time-cost tradeoff analysis. 3329-3334 - Sildomar Takahashi Monteiro, Yukio Kosugi:
A particle swarm optimization-based approach for hyperspectral band selection. 3335-3340 - Tao Xiang, Jun Wang, Xiaofeng Liao:
An improved particle swarm optimizer with momentum. 3341-3345 - Lingfeng Wang, Chanan Singh, Kay Chen Tan:
Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. 3346-3352 - Ngai Ming Kwok, Quang Phuc Ha, Dikai Liu, Gu Fang, Kay Chen Tan:
Efficient particle swarm optimization: a termination condition based on the decision-making approach. 3353-3360 - Brian Ivers, Gary G. Yen:
Job shop optimization through multiple independent particle swarms. 3361-3368
Artificial Immune Systems
- M. Zubair Shafiq, Mehrin Kiani, Bisma Hashmi, Muddassar Farooq:
Extended thymus action for improving response of AIS based NID system against malicious traffic. 3369-3376 - Kevin Leung, France Cheong, Christopher Cheong:
Consumer credit scoring using an artificial immune system algorithm. 3377-3384 - Maoguo Gong, Licheng Jiao, Wenping Ma, Shuiping Gou:
Solving multidimensional knapsack problems by an immune-inspired algorithm. 3385-3391 - Burim Sirisanyalak, Ohm Sornil:
An artificial immunity-based spam detection system. 3392-3398 - Zhongli Ma, Hongda Liu:
Pipeline defect detection and sizing based on MFL data using immune RBF neural networks. 3399-3403 - Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu:
Immunity diversity based multi-agent intrusion detection. 3404-3409
Evolving Neural Networks & Fuzzy Systems
- Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Emergent specialization in the extended multi-rover problem. 3410-3417 - Gabriel Gómez, Peter Eggenberger Hotz:
Evolutionary synthesis of grasping through self-exploratory movements of a robotic hand. 3418-3425 - Haoming Huang, Michel Pasquier, Chai Quek:
HiCEFS - A hierarchical coevolutionary approach for the dynamic generation of fuzzy system. 3426-3433 - Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, Noriyuki Iwane:
Structural learning of neural networks by differential evolution with degeneration using mappings. 3434-3441 - Moha'med O. Al-Jaafreh, Adel Ali Al-Jumaily:
Training type-2 Fuzzy System by particle swarm optimization. 3442-3446 - Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Hoon Park:
Improving generalization capability of neural networks based on simulated annealing. 3447-3453
Evolutionary Computation for Electronic Design Automation
- Ronghua Guo, Bin Li, Yi Zou, Zhenquan Zhuang:
Hybrid quantum probabilistic coding genetic algorithm for large scale hardware-software co-synthesis of embedded systems. 3454-3458 - Christian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi:
Fitness inheritance in evolutionary and multi-objective high-level synthesis. 3459-3466 - Danilo Ravotto, Ernesto Sánchez, Massimiliano Schillaci, Giovanni Squillero:
A local analysis of an incremental evolutionary tool for processor diagnosis. 3467-3473 - Letícia Maria Veiras Bolzani, Ernesto Sánchez, Massimiliano Schillaci, Giovanni Squillero:
Co-evolution of test programs and stimuli vectors for testing of embedded peripheral cores. 3474-3481 - Premysl Ziska, Milos Laipert:
Design of analog all-pass filters with equal-ripple group delay frequency response. 3482-3485 - Jason D. Lohn, William F. Kraus, Gregory S. Hornby:
Automated design of a MEMS resonator. 3486-3491
Combinatorial & Numerical Optimization
- Gualtiero Colombo, Stuart M. Allen:
Problem decomposition for minimum interference frequency assignment. 3492-3499 - Riccardo Poli, John R. Woodward, Edmund K. Burke:
A histogram-matching approach to the evolution of bin-packing strategies. 3500-3507 - Kengo Katayama, Hiroshi Yamashita, Hiroyuki Narihisa:
Variable depth search and iterated local search for the node placement problem in multihop WDM lightwave networks. 3508-3515 - Taejin Park, Kwang Ryel Ryu:
A dual population genetic algorithm with evolving diversity. 3516-3522 - Zhenyu Yang, Ke Tang, Xin Yao:
Differential evolution for high-dimensional function optimization. 3523-3530 - Chih-Chung Lai, Chuan-Kang Ting, Ren-Song Ko:
An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications. 3531-3538
Evolutionary Computation in Cryptology and Computer Security
- Nadia Nedjah, Luiza de Macedo Mourelle:
SoC-based implementation for modular exponentiation using evolutionary addition chains. 3539-3546 - Mohammad Saniee Abadeh, Jafar Habibi, M. Daneshi, M. Jalali, M. Khezrzadeh:
Intrusion detection using a hybridization of evolutionary fuzzy systems and artificial immune systems. 3547-3553 - Marcin Seredynski, Pascal Bouvry, Mieczyslaw A. Klopotek:
Preventing selfish behavior in Ad Hoc networks. 3554-3560 - Juan M. Estévez-Tapiador, Julio César Hernández Castro, John A. Clark:
Heuristic search for non-linear cryptanalytic approximations. 3561-3568 - Alexandra Alecu, Ana Salagean:
A genetic algorithm for computing the k-error linear complexity of cryptographic sequences. 3569-3576 - Gabriel L. F. B. G. Azevedo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting. 3577-3584
Performance Assessment of Multi-Objective Optimization Algorithms
- Karin Zielinski, Rainer Laur:
Differential evolution with adaptive parameter setting for multi-objective optimization. 3585-3592 - Saku Kukkonen, Jouni Lampinen:
Performance assessment of Generalized Differential Evolution 3 (GDE3) with a given set of problems. 3593-3600 - Vicky Ling Huang, A. Kai Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
Multi-objective optimization based on self-adaptive differential evolution algorithm. 3601-3608 - Lin-Yu Tseng, Chun Chen:
Multiple trajectory search for multiobjective optimization. 3609-3616 - Ales Zamuda, Janez Brest, Borko Boskovic, Viljem Zumer:
Differential evolution for multiobjective optimization with self adaptation. 3617-3624 - Vinicius L. S. Silva, Elizabeth F. Wanner, Sergio A. A. G. Cerqueira, Ricardo H. C. Takahashi:
A new performance metric for multiobjective optimization: the integrated sphere counting. 3625-3630
Evolutionary Robotic & Control Systems
- Matthew D. Handier, Gregory S. Hornby:
Evolving Quadruped Gaits with a Heterogeneous Modular Robotic System. 3631-3638 - Declan G. Bates, Sajjad Fekri, Prathyush P. Menon, Ian Postlethwaite:
On the robustness analysis of nonlinear systems subject to time-invariant and/or time-varying uncertainty. 3639-3645 - Ivan Tanev, Katsunori Shimohara:
On human competitiveness of the evolved agent operating a scale model of a car. 3646-3653 - Renato Reder Cazangi, Craig Feied, Michael Gillam, Jonathan A. Handler, Mark S. Smith, Fernando J. Von Zuben:
An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments. 3654-3661 - Ivan Tanev, Katsunori Shimohara:
Interactive learning of consensus sequences in genetic programming for evolution of snake-like robot. 3662-3670 - John Millard:
Evolutionary motion inverse kinematics. 3671-3678
Evolutionary Games
- David Newth:
On the evolution of altruistic behavior in asynchronous environments. 3679-3684 - Kokolo Ikeda, Hajime Kita:
State evaluation strategy for exemplar-based policy optimization of dynamic decision problems. 3685-3691 - Lee K. Graham, Franz Oppacher, Steffen Christensen:
Irreducible complexity in a genetic algorithm. 3692-3697 - Elpida Tzafestas:
Attraction and cooperation in space. 3698-3705 - Sihai Zhang, Zhiwei Song, Xufa Wang, Wuyang Zhou:
Emergence of small-world networks via local interaction using prisoner's dilemma game. 3706-3710 - Ayman Ghoneim, Hussein A. Abbass, Michael Barlow:
The critical point when prisoners meet the minority: local and global dynamics in mixed evolutionary games. 3711-3718
Recent Developments in Artificial Immune Systems
- Martin Drozda, Sven Schaust, Helena Szczerbicka:
AIS for misbehavior detection in wireless sensor networks: Performance and design principles. 3719-3726 - Thomas Stibor, Jonathan Timmis:
Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM. 3727-3734 - Thomas Knight, Jonathan Timmis:
Comparison of a multi-layered artificial immune system with a kohonen network. 3735-3742 - Nicholas Christopher Lay, Iain Bate:
Applying artificial immune systems to real-time embedded systems. 3743-3750 - Zeming Zhang, Wenjian Luo, Xufa Wang:
Immune genetic programming based on register-stack structure. 3751-3758 - Andrew Secker, Alex Alves Freitas:
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. 3759-3765
Evolutionary Planning and Scheduling
- Fabiano S. R. Alves, Kairon F. Guimaraes, Márcia A. Fernandes:
Integrating planning and scheduling based on genetic algorithms to an workflow system. 3766-3775 - José Antonio Vázquez Rodríguez, Sanja Petrovic, Abdellah Salhi:
An investigation of hyper-heuristic search spaces. 3776-3783 - Ingmar Steinzen, Matthias Becker, Leena Suhl:
A hybrid evolutionary algorithm for the vehicle and crew scheduling problem in public transit. 3784-3789 - Jerzy Duda, Andrzej Osyczka:
A genetic algorithm for lot sizing optimization with a capacity loading criterion. 3790-3795 - Shouichi Matsui, Seiji Yamada:
An empirical performance evaluation of a parameter-free genetic algorithm for job-shop scheduling problem. 3796-3803 - S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornforth:
Modified genetic algorithm for job-shop scheduling: A gap utilization technique. 3804-3811
Evolutionary Computation for Expensive Optimization Problems - Part I
- Rahul Sharma, S. P. Bhattacharyya:
Direct search for wave operator by a Genetic Algorithm (GA): Route to few eigenvalues of a Hamiltonian. 3812-3817 - Salman A. Khan, Zubair A. Baig:
A Simulated Evolution-Tabu search hybrid metaheuristic for routing in computer networks. 3818-3823 - Jingqiao Zhang, Arthur C. Sanderson:
DE-AEC: A differential evolution algorithm based on adaptive evolution control. 3824-3830 - D. S. Liu, Kay Chen Tan, Weng Khuen Ho:
A distributed co-evolutionary particle swarm optimization algorithm. 3831-3838 - Jim Pugh, Alcherio Martinoli:
Parallel learning in heterogeneous multi-robot swarms. 3839-3846 - Maumita Bhattacharya:
Surrogate based EA for expensive optimization problems. 3847-3854
EC in Bioinformatics and Computational Biology - Part I
- Thomas Goth, Chia-Ti Tsai, Fu-Tien Chiang, Clare Bates Congdon:
Initial results with EpiSwarm, a Swarm-based system investigating genetic epistasis. 3855-3861 - Ramesh Ram, Madhu Chetty:
A guided genetic algorithm for learning gene regulatory networks. 3862-3869 - Joshua W. Gilkerson, Jerzy W. Jaromczyk:
The genetic algorithm scheme for consensus sequences. 3870-3878 - Herbert H. Tsang, Kay C. Wiese:
The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing. 3879-3885 - Farhana Naznin, Morikazu Nakamura, Takeo Okazaki, Yumiko Nakajima:
An evolutionary progressive multiple sequence alignment. 3886-3893 - Michael A. Lones, Andy M. Tyrrell:
A co-evolutionary framework for regulatory motif discovery. 3894-3901
EC in Structural and Multidisciplinary Optimization - Part I
- Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Novel evolutionary algorithm with set representation scheme for truss design. 3902-3908 - Gabriel Bugeda, Juan J. Rodenas, José Albelda, Eugenio Oñate:
Influence of the finite element discretization error over the convergence of structural shape optimization algorithms. 3909-3916 - Shao Chong Oh, Chung Huat Tan, Fook Wai Kong, Yuan-Sin Tan, Khin Hua Ng, Gee Wah Ng, Kang Tai:
Multiobjective optimization of sensor network deployment by a genetic algorithm. 3917-3921 - Nianfeng F. Wang, Kang Tai:
Handling objectives as adaptive constraints for multiobjective structural optimization. 3922-3929 - Michael Sauter, T. Kern, Paolo Ermanni:
Final design interpretation of the complex-shaped beam optimizations for compliant mechanisms. 3930-3937 - Yichun Xu, Renbin Xiao, Martyn Amos:
A novel genetic algorithm for the layout optimization problem. 3938-3943
Evolutionary Multiobjective Optimization - Part I
- Evan J. Hughes:
MSOPS-II: A general-purpose Many-Objective optimiser. 3944-3951 - Roman Senkerik, Ivan Zelinka, Donald Davendra:
Comparison of evolutionary algorithms in the task of chaos control optimization. 3952-3958 - Kata Praditwong, Xin Yao:
How well do multi-objective evolutionary algorithms scale to large problems. 3959-3966 - Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Iterative approach to indicator-based multiobjective optimization. 3967-3974 - Lily Rachmawati, D. Srinivasain:
Dynamic resizing for grid-based archiving in evolutionary multi objective optimization. 3975-3982 - Saku Kukkonen, Jouni Lampinen:
Ranking-Dominance and Many-Objective Optimization. 3983-3990
Evolutionary Computation in Manufacturing Systems and Robotics
- Ruhul A. Sarker, Tapabrata Ray, José Barahona da Fonseca:
An evolutionary algorithm for machine layout and job assignment problems. 3991-3997 - Arya K. Bhattacharya, S. Debjani, Abhik Roychowdhury, Jadav Das:
Optimization of continuous casting mould oscillation parameters in steel manufacturing process using genetic algorithms. 3998-4004 - A. S. Ramkumar, S. G. Ponnambalam, N. Jawahar:
An evolutionary search heuristic for solving QAP formulation in facility layout design. 4005-4011 - S. Chandrasekaran, S. G. Ponnambalam, R. K. Suresh, N. Vijayakumar:
Multi-objective particle swarm optimization algorithm for scheduling in flowshops to minimize makespan, total flowtime and completion time variance. 4012-4018 - Pasan Kulvanit, Nachol Chaiyaratana, Djitt Laowattana:
Biped fast walking gait shaping via evolutionary multi-objective optimization. 4019-4026 - U. Pattananupong, Nachol Chaiyaratana, R. Tongpadungrod:
Genetic programming and neural networks as interpreters for a distributive tactile sensing system. 4027-4034
Evolutionary Computation in Games
- Phillipa M. Avery, Zbigniew Michalewicz:
Static experts and dynamic enemies in coevolutionary games. 4035-4042 - Julian Togelius, Peter Burrow, Simon M. Lucas:
Multi-population competitive co-evolution of car racing controllers. 4043-4050 - Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi:
Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making. 4051-4058 - Philip Hingston, Martin Masek:
Experiments with Monte Carlo Othello. 4059-4064 - Ayman Ghoneim, Hussein A. Abbass, Michael Barlow:
Investigating alliance dynamics using a co-evolutionary iterated prisoner's dilemma with an exit option. 4065-4072 - Daniel A. Ashlock, Eun-Youn Kim, Wendy Ashlock:
Fingerprint analysis of the noisy prisoner's dilemma. 4073-4080
Molecular & Quantum Computing
- Steven R. Hutsell, Garrison W. Greenwood:
Applying evolutionary techniques to quantum computing problems. 4081-4085 - Shigeru Yamashita, Masaki Nakanishi:
A practical framework to utilize quantum search. 4086-4093 - Jamal S. Rahhal, Mohammed Hawa, Dia I. Abu-Al-Nadi:
Vieterbi decoder algorithm using quantum computing. 4094-4099 - Giovanni Acampora, Vincenzo Loia:
A proposal of multi-agent simulation system for membrane computing devices. 4100-4107
Evolutionary Computation for Expensive Optimization Problems - Part II
- Ofer M. Shir, Michael Emmerich, Thomas Bäck, Marc J. J. Vrakking:
The application of evolutionary multi-criteria optimization to dynamic molecular alignment. 4108-4115 - Ioannis C. Kampolis, A. S. Zymaris, V. G. Asouti, Kyriakos C. Giannakoglou:
Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems. 4116-4123 - Raffi R. Kamalian, Alice M. Agogino, Hideyuki Takagi:
Use of interactive evolutionary computation with simplified modeling for computationally expensive layout design optimization. 4124-4129 - Hamidreza Eskandari, Christopher D. Geiger, Robert Bird:
Handling uncertainty in evolutionary multiobjective optimization: SPGA. 4130-4137
EC in Bioinformatics and Computational Biology - Part II
- Tamjidul Hoque, Madhu Chetty, Abdul Sattar:
Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. 4138-4145 - Vivek Jayaswal, Leon Poladian, Lars S. Jermiin:
Single- and Multi-objective phylogenetic analysis of primate evolution using a genetic algorithm. 4146-4153 - K. Rao Raghuraj, Samavedham Lakshminarayanan, Kyaw Tun:
Genetic programming models for classification of data from biological systems. 4154-4161
EC in Structural and Multidisciplinary Optimization - Part II
- Siwadol Kanyakam, Sujin Bureerat:
Passive vibration suppression of a walking tractor handlebar structure using multiobjective PBIL. 4162-4169 - Yuhang Hu, Yaowen Yang, Lei Zhang, Yong Lu:
Identification of structural parameters based on PZT impedance using genetic algorithms. 4170-4177 - Kang Tai, Nianfeng F. Wang:
An Enhanced Chromosome Encoding and Morphological Representation of Geometry for Structural Topology Optimization using GA. 4178-4185 - C. S. Feng, Shuang Cong, X. Y. Feng:
A new adaptive inertia weight strategy in particle swarm optimization. 4186-4190
Evolutionary Multiobjective Optimization - Part II
- Julio J. Valdés, Alan J. Barton, Robert Orchard:
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation. 4191-4198 - Julio J. Valdés, Alan J. Barton:
Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach. 4199-4206 - Simon Illich, Lyndon While, Luigi Barone:
Multi-objective strip packing using an evolutionary algorithm. 4207-4214
Organic Computing - An Approach to Controlled Emergence
- Hella Seebach, Frank Ortmeier, Wolfgang Reif:
Design and construction of organic computing systems. 4215-4221 - Emre Cakar, Moez Mnif, Christian Müller-Schloer, Urban Richter, Hartmut Schmeck:
Towards a quantitative notion of self-organisation. 4222-4229 - George Brancovici:
Towards trustworthy intelligence on the road: A flexible architecture for safe, adaptive, autonomous applications. 4230-4237 - Thomas Bärecke, Marcin Detyniecki:
Memetic algorithms for inexact graph matching. 4238-4245
Evolved Art and Music
- Man Yat Lo, Simon M. Lucas:
N-gram fitness function with a constraint in a musical evolutionary system. 4246-4251 - Thomas Cook, Clare Bates Congdon:
Preliminary results with GAUGUIN, an evolutionary computation approach to creating art in the suprematis style. 4252-4257 - Daichi Ando, Hitoshi Iba:
Interactive composition aid system by means of tree representation of musical phrase. 4258-4265 - Tim Hendtlass:
Fitness estimation and the particle swarm optimisation algorithm. 4266-4272
Plenary Poster Session III
- Grégoire Danoy, Pascal Bouvry, Luc Hogie:
Coevolutionary genetic algorithms for Ad hoc injection networks design optimization. 4273-4280 - Henry C. W. Lau, T. M. Chan, W. T. Tsui:
Fuzzy logic guided genetic algorithms for the location assignment of items. 4281-4288 - Mohamed Jebalia, Anne Auger, Marc Schoenauer, François James, Marie Postel:
Identification of the isotherm function in chromatography using CMA-ES. 4289-4296 - Hoda Sepehri Rad, Caro Lucas:
A recommender system based on invasive weed optimization algorithm. 4297-4304 - Krishna Agarwal, Xudong Chen:
Application of differential evolution in 2-dimensional electromagnetic inverse problems. 4305-4312 - Pedro J. Ballester, Jonathan N. Carter:
Model calibration of a real petroleum reservoir using a parallel real-coded genetic algorithm. 4313-4320 - Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira:
An evolutionary Morphological-Rank-Linear approach for time series prediction. 4321-4328 - Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira:
Hybrid differential evolutionary system for financial time series forecasting. 4329-4336 - Yong He, Kejun Zhu:
A soft computing method to estimate the effect of production factors on economic growth. 4337-4343 - Tezuka Masaru, Ito Yoichi, Munakata Satoshi:
Genetic algorithm approach to design covariates of binomial logit model for estimation of default probability. 4344-4349 - Kit Yan Chan, Sai-Ho Ling, Herbert H. C. Iu, C. K. Kwong:
A GA-based data mining approach to process improvement of fluid dispensing for electronic packaging. 4350-4357 - Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng:
Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation. 4358-4364 - Chin-Hui Liu, Chang-Shian Chen:
Using two-stage genetic algorithms to solve the nonlinear time series models for ten-day streamflow forecasting. 4365-4371 - Heyong Wang, Kang Hu, Jing Liu, Licheng Jiao:
Multiagent evolutionary algorithm for floorplanning using moving block sequence. 4372-4377 - Zhigang Hua, Hua Hua, Jianhong Lu, Tiejun Zhang:
Research and application of a new predictive control based on state feedback theory in power plant control system. 4378-4385 - Tzu-Lan Lin, Yo-Hsien Lin, Jong-Chen Chen:
Analysis of weight changes of prematurely born babies with neuromolecular evolvable hardware. 4386-4391 - Daniel Lombraña Gonzalez, Francisco Fernández de Vega:
Analyzing fault tolerance on parallel genetic programming by means of dynamic-size populations. 4392-4398 - Wing On Fung, Tughrul Arslan:
A multi-objective algorithm for the design of high performance reconfigurable architectures with embedded decoding. 4399-4404 - Ling Wu, Faxing Lu, Peifa Jia:
Research on the applications of the genetic algorithm to sensor registration. 4405-4409 - Glenn Sanders, Tapabrata Ray:
Optimal offline path planning of a fixed wing unmanned aerial vehicle (UAV) using an evolutionary algorithm. 4410-4416 - Sriparna Saha, Sanghamitra Bandyopadhyay:
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique. 4417-4424 - Bhupendra Kumar Pathak, Harish Kumar Singh, Sanjay Srivastava:
Multi-resource-constrained discrete time-cost tradeoff with MOGA based hybrid method. 4425-4432 - El-Sayed M. El-Alfy, Shokri Z. Selim, Mujahid N. Syed:
Solving the minimum-cost constrained multipath routing with load balancing in MPLS networks using an evolutionary method. 4433-4438 - Sotirios Theofanis, Maria Boilé, Mihalis M. Golias:
An optimization based genetic algorithm heuristic for the berth allocation problem. 4439-4445 - Lihong Xu, Qingsong Hu, Erik D. Goodman:
A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem. 4446-4453 - Mahasak Ketcham, Sartid Vongprahip:
An algorithm for intelligent audio watermaking using genetic algorithm. 4454-4461 - Tomoyuki Hiroyasu, Shinpei Chino, Mitsunori Miki:
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems. 4462-4468 - Suranga Chandima Nanayakkara, Dipti Srinivasan, Lai Wei Lup, Xavier German, Elizabeth A. Taylor, S. H. Ong:
Genetic Algorithm based route planner for large urban street networks. 4469-4474 - Lidia Lluch-Revert, Anna Esparcia-Alcázar, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato:
A new two-stage approach to solve the Linear Shelf Space Allocation Problem. 4475-4482 - Shinichiro Ataka, Mitsuo Gen:
Solving exclusionary side constrained logistics network by using priority-based GA. 4483-4488 - Shigeru Kashiwaya:
Chemical reaction rate parameter estimation by MAP particle filter algorithm. 4489-4496 - Jianhua Xiao, Jin Xu, Zehui Shao, Congfeng Jiang, Linqiang Pan:
A genetic algorithm for solving multi-constrained function optimization problems based on KS function. 4497-4501 - Jason Teo, Hanafi A. Hijazi, Zaturrawiah A. Omar, Nor Rafidah Mohamad, Yunus Hamid:
Harnessing mutational diversity at multiple levels for improving optimization accuracy in G3-PCX. 4502-4507 - Robert E. Keller, Riccardo Poli:
Linear genetic programming of parsimonious metaheuristics. 4508-4515 - Maroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel:
Evolving dynamic change and exchange of genotype encoding in genetic algorithms for difficult optimization problems. 4516-4523 - Chuan-Kang Ting, Chun-Cheng Chen:
The effects of supermajority on multi-parent crossover. 4524-4530 - Hiroshi Someya:
Theoretical analysis on an inversion phenomenon of convergence velocity in a real-coded GA. 4531-4537 - Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jalali Heravi, Bahareh Jafari Jashmi:
A general purpose optimization approach. 4538-4545 - Jorge Maturana, Frédéric Saubion:
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach. 4546-4553 - Simon M. Lucas:
A statistically aligned recombination operator for finite state machines. 4554-4560 - Huayang Xie, Mengjie Zhang, Peter Andreae:
An analysis of depth of crossover points in tree-based Genetic Programming. 4561-4568 - Gayan Wijesinghe, Victor Ciesielski:
Using restricted loops in genetic programming for image classification. 4569-4576 - Lin Lin, Mitsuo Gen:
A bicriteria shortest path routing problems by hybrid genetic algorithm in communication networks. 4577-4582 - Shiu Yin Yuen, Chi Kin Chow:
A non-revisiting Genetic Algorithm. 4583-4590 - Lee K. Graham, Franz Oppacher:
A multiple-function toy model of exaptation in a genetic algorithm. 4591-4598 - Eugene Eberbach, Mark Burgin:
Evolution of evolution: Self-constructing Evolutionary Turing Machine case study. 4599-4605 - Jun-Hua Gu, Na-Na Li, Qing Tan, Wei Wei:
A novel niche genetic algorithm with local search ability. 4606-4609 - Anca Gog, Dumitru Dumitrescu, Béat Hirsbrunner:
New selection operators based on genetic relatedness for evolutionary algorithms. 4610-4614 - Eloy Gonzales, Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Class association rule mining for large and dense databases with parallel processing of genetic network programming. 4615-4622 - Zbigniew Skolicki, Kenneth A. De Jong:
The importance of a two-level perspective for island model design. 4623-4630 - Matthew Walker, Howard Edwards, Chris H. Messom:
Success effort and other statistics for performance comparisons in genetic programming. 4631-4638 - Maury M. Gouvea Jr., Aluízio F. R. Araújo:
Diversity-based model reference for genetic algorithms in dynamic environment. 4639-4645 - X. B. Hu, S. F. Wu:
A self-adaptive Genetic Algorithm based on fuzzy mechanism. 4646-4652 - Ron Cottam, Willy Ranson, Roger Vounckx:
Anticipation: Breaking the evolutionary time barrier. 4653-4660 - Esmaeil Atashpaz-Gargari, Caro Lucas:
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. 4661-4667 - Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chongstitvatana:
Optimal stopping time of compact genetic algorithm on deceptive problem using real options analysis. 4668-4675 - Tatsuya Okabe:
Theoretical analysis of selection operator in Genetic Algorithms. 4676-4683 - Bruno Pinaud, Pascale Kuntz:
On the influence of the instance structure on metaheuristic performances - application to a graph drawing problem. 4684-4690 - Sadjia Benkhider, Ahmed Riadh Baba-Ali, Habiba Drias:
A new generationless parallel evolutionary algorithm for combinatorial optimization. 4691-4697 - Takuma Jumonji, Goutam Chakraborty, Hiroshi Mabuchi, Masafumi Matsuhara:
A novel distributed genetic algorithm implementation with variable number of islands. 4698-4705 - David Simoncini, Philippe Collard, Sébastien Vérel, Manuel Clergue:
On the influence of selection operators on performances in cellular Genetic Algorithms. 4706-4713 - Justin Schonfeld, Sushil J. Louis:
The effect of selection on the development of mutational robustness. 4714-4721 - Felix T. S. Chan, T. C. Wong, L. Y. Chan:
Lot splitting under different job shop conditions. 4722-4728 - Rong-Jong Wai, Kun-Lun Chuang, Jeng-Dao Lee:
Total sliding-model-based particle swarm optimization control design for linear induction motor. 4729-4734 - Hanyang Quek, Arthur Tay:
A evolutionary, game theoretic approach to the modeling, simulation and analysis of public goods provisioning under asymmetric information. 4735-4742 - Lai Wei Lup, Dipti Srinivasan:
A hybrid evolutionary algorithm for dynamic route planning. 4743-4749 - Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng:
Opposition-based particle swarm algorithm with cauchy mutation. 4750-4756 - Mohammed El-Abd, Mohamed S. Kamel:
Particle swarm optimization with varying bounds. 4757-4761 - Jing Jie, Jianchao Zeng, Chongzhao Han, Youzhi Ren:
Adaptive particle swarm optimization with PD controller. 4762-4767 - Boxin Fu, Xiangqun Song, Zijian Guo, Peng Zhang:
An optimization model for container transportation network with ACO approach. 4768-4775 - M. V. Judy, K. S. Ravichandran:
A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy. 4776-4780
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