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ORCIDGECCO 2020: Cancún, Mexico
- Carlos Artemio Coello Coello:
GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020. ACM 2020, ISBN 978-1-4503-7127-8
Competition entry: Competition evolutionary computation in the energy domain: Smart grid applications
- Yoan Martínez-López, Ansel Y. Rodríguez-González
, Julio Madera Quintana, Miguel Bethencourt Mayedo, Alexis Moya, Oscar Martínez Santiago:
Applying some EDAs and hybrid variants to the ERM problem under uncertainty. 1-2
Competition entry: Competition on the optimal camera placement problem (OCP) and the unicost set covering problem (USCP)
- Weibo Lin, Fuda Ma, Zhouxing Su, Qingyun Zhang, Chumin Li, Zhipeng Lü:
Weighting-based parallel local search for optimal camera placement and unicost set covering. 3-4
Competition entry: Competition open optimization competition 2020
- Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec:
Deep statistics: more robust performance statistics for single-objective optimization benchmarking. 5-6 - Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec:
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. 7-8
Competition entry: Competition on single objective bound constrained numerical optimization
- Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
SOMA-CL for competition on single objective bound constrained numerical optimization benchmark: a competition entry on single objective bound constrained numerical optimization at the genetic and evolutionary computation conference (GECCO) 2020. 9-10
Competition entry: Competition on single objective constrained numerical optimization
- Abhishek Kumar, Swagatam Das, Ivan Zelinka:
A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. 11-12 - Abhishek Kumar, Swagatam Das, Ivan Zelinka:
A self-adaptive spherical search algorithm for real-world constrained optimization problems. 13-14
Hot off the press
- Benjamin Doerr, Weijie Zheng:
Sharp bounds for genetic drift in estimation of distribution algorithms (Hot-off-the-press track at GECCO 2020). 15-16 - Benjamin Doerr, Martin S. Krejca:
The univariate marginal distribution algorithm copes well with deception and epistasis. 17-18 - Tome Eftimov, Peter Korosec:
Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? 19-20 - Trang T. Le, Weixuan Fu, Jason H. Moore:
Large scale biomedical data analysis with tree-based automated machine learning. 21-22 - Michal Witold Przewozniczek, Marcin M. Komarnicki:
Empirical linkage learning. 23-24 - Stefano Ruberto, Valerio Terragni, Jason H. Moore:
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. 25-26 - Urban Skvorc, Tome Eftimov, Peter Korosec:
Using exploratory landscape analysis to visualize single-objective problems. 27-28
Late-breaking abstract
- Tanguy Appriou, Koji Shimoyama:
Combined kriging surrogate model for efficient global optimization using the optimal weighting method. 29-30 - Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim:
A daily stock index predictor using feature selection based on a genetic wrapper. 31-32 - Hwi-Yeon Cho, Yong-Hyuk Kim:
A genetic algorithm to optimize SMOTE and GAN ratios in class imbalanced datasets. 33-34 - Tanguy Damart, Werner Van Geit, Henry Markram:
Data driven building of realistic neuron model using IBEA and CMA evolution strategies. 35-36 - Jesús A. Gómez-Avilés, Ángel G. Andrade, Anabel Martínez-Vargas:
A bio-inspired approach for the spectrum allocation problem in IoT networks. 37-38 - Hye-Jin Kim, Yong-Hyuk Kim:
A surrogate model using deep neural networks for optimal oil skimmer assignment. 39-40 - Mateus Interciso, Plínio Barrio Garcia:
Usage of a genetic algorithm for optimizing stock usage. 41-42 - Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky:
Automatic evolutionary learning of composite models with knowledge enrichment. 43-44 - Jeongmin Kim, Kwang Ryel Ryu:
An RTS-based algorithm for noisy optimization by strategic sample accumulation. 45-46 - Tengyue Li, Simon Fong, Antonio J. Tallón-Ballesteros:
Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification. 47-48 - Soo Ling Lim, Yi Kuo, Peter J. Bentley:
Constraint handling in genotype to phenotype mapping and genetic operators for project staffing. 49-50 - Joel Simon, Joel Lehman:
Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms. 51-52 - Anh Due Ta, Danilo Vasconcellos Vargas:
Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation. 53-54 - Antonio J. Tallón-Ballesteros, Tengyue Li, Simon Fong:
Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets. 55-56 - Lei Wang, Qian Sun, Qingzheng Xu, Balin Tian, Wei Li:
On the order of variables for multitasking optimization. 57-58 - Qingzheng Xu, Balin Tian, Lei Wang, Qian Sun, Feng Zou:
An effective variable transfer strategy in multitasking optimization. 59-60 - Dong-Pil Yu, Yong-Hyuk Kim:
On the co-authorship network in evolutionary computation. 61-62
Poster Session: Ant colony optimization and swarm intelligence
- Delia Dumitru, Anca Andreica, Laura Diosan, Zoltán Bálint:
Evolutionary curriculum learning approach for transferable cellular automata rule optimization. 63-64 - Judhi Prasetyo, Giulia De Masi, Elio Tuci, Eliseo Ferrante:
The effect of differential quality and differential zealotry in the best-of-n problem. 65-66 - Jian Shi, Wei-Neng Chen:
Multi-objective ant colony optimization for task allocation in vehicle-based crowdsourcing. 67-68 - Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. 69-70
Poster Session: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware)
- Christian Carvelli, Djordje Grbic, Sebastian Risi:
Evolving hypernetworks for game-playing agents. 71-72 - Matteo De Carlo, Eliseo Ferrante, A. E. Eiben:
Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots. 73-74 - Heba El-Fiqi, Benjamin Campbell, Saber M. Elsayed, Anthony Perry, Hemant Kumar Singh, Robert A. Hunjet, Hussein A. Abbass:
A preliminary study towards an improved shepherding model. 75-76 - Djordje Grbic, Sebastian Risi:
Safer reinforcement learning through evolved instincts. 77-78 - Vikas Gupta, Nathanaël Aubert-Kato, Leo Cazenille:
Exploring the BipedalWalker benchmark with MAP-Elites and curiosity-driven A3C. 79-80 - Gerard David Howard, Thomas Lowe, Wade Geles:
Diversity-based design assist for large legged robots. 81-82 - Tanja Katharina Kaiser, Heiko Hamann:
Diversity in swarm robotics with task-independent behavior characterization. 83-84 - Gregory Furman, Geoff Nitschke:
Evolving an artificial creole. 85-86 - Scott Hallauer, Geoff Nitschke:
The expense of neuro-morpho functional machines. 87-88 - Samuel Schmidgall:
Adaptive reinforcement learning through evolving self-modifying neural networks. 89-90 - Jeremy Tan, Bernhard Kainz:
Divergent search for image classification behaviors. 91-92 - Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy:
Novelty producing synaptic plasticity. 93-94 - Wen Zhou, Yiwen Liang:
An artificial sequential immune responses model for anomaly detection. 95-96
Poster Session: Digital entertainment technologies and arts
- Daniel Lopes, João Correia, Penousal Machado:
Adea - Evolving glyphs for aiding creativity in typeface design. 97-98 - Adam Tupper, Kourosh Neshatian:
Evolving neural network agents to play atari games with compact state representations. 99-100
Poster Session: Evolutionary combinatorial optimization and metaheuristics
- Vincent Hénaux, Adrien Goëffon, Frédéric Saubion:
Evolving search trajectories. 101-102 - Riccardo Lucato, Jonas K. Falkner, Lars Schmidt-Thieme:
An efficient evolutionary solution to the joint order batching - order picking planning problem. 103-104 - Soheila Sadeghiram, Hui Ma, Gang Chen:
QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method. 105-106 - Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. 107-108
Poster Session: Evolutionary machine learning
- Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang:
Evolving network structures for text classification using genetic algorithms. 109-110 - Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki:
An adaptive neuroevolution-based hyperheuristic. 111-112 - Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Multi-objective data stream clustering. 113-114 - Dustin K. Barnes, Sara R. Davis, Emily M. Hand, Sushil J. Louis:
A first step toward incremental evolution of convolutional neural networks. 115-116 - Ying Bi, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. 117-118 - Rui P. Cardoso, Emma Hart, Jeremy V. Pitt:
Diversity-driven wide learning for training distributed classification models. 119-120 - Yue Gu, Wei Li, Roderich Groß:
Turing learning with hybrid discriminators: combining the best of active and passive learning. 121-122 - Jeffrey Hajewski, Suely Oliveira, Xiaoyu Xing:
Evolving deep autoencoders. 123-124 - Tim Hansmeier, Paul Kaufmann, Marco Platzner:
Enabling XCSF to cope with dynamic environments via an adaptive error threshold. 125-126 - Michael Heider, David Pätzel, Jörg Hähner:
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. 127-128 - Alexander Hvatov, Mikhail Maslyaev:
The data-driven physical-based equations discovery using evolutionary approach. 129-130 - Masayuki Kobayashi, Tomoharu Nagao:
An evolution-based approach for efficient differentiable architecture search. 131-132 - Masayuki Kobayashi, Tomoharu Nagao:
A Multi-objective architecture search for generative adversarial networks. 133-134 - Shashank Kotyan, Danilo Vasconcellos Vargas:
Towards evolving robust neural architectures to defend from adversarial attacks. 135-136 - Rodica Ioana Lung, Mihai-Alexandru Suciu:
Equilibrium in classification: a new game theoretic approach to supervised learning. 137-138 - Javier Maldonado, María Cristina Riff:
Improving an evolutionary wrapper for attack detection by including feature importance information. 139-140 - Gurshaant Singh Malik, Lucian Petrica, Nachiket Kapre, Michaela Blott:
DarwiNN: efficient distributed neuroevolution under communication constraints. 141-142 - Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. 143-144 - Andrew Nader, Danielle Azar:
Searching for activation functions using a self-adaptive evolutionary algorithm. 145-146 - Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
BACS: integrating behavioral sequences to ACS2. 147-148 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. 149-150 - Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie:
Evolutionary super-resolution. 151-152 - Amna Shahab, Boris Grot:
Population-based evolutionary distributed SGD. 153-154 - Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. 155-156 - Zhaoyang Wu, Lin Lin, Guoliang Gong, Rui Xu, Mitsuo Gen, Yong Zhou:
Evolutionary neural network structure search for DNN pruning and features separation. 157-158
Poster Session: Evolutionary multiobjective optimization
- Luiz Carlos Felix Carvalho, Márcia Aparecida Fernandes:
An EDA with swarm intelligence for the multi-objective flexible job-shop problem. 159-160 - Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
A generic and computationally efficient automated innovization method for power-law design rules. 161-162 - Luhana Aracelli González Zarza, Alan Mathías Ruiz Díaz Nodari, José Luis Vázquez Noguera, Diego Pedro Pinto-Roa:
Framework to select an improved radiographic image using Speed-constrained modified particle swarm optimization. 163-164 - Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang:
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. 165-166 - Edgar Manoatl López, Carlos Ignacio Hernández Castellanos:
A local hypervolume contribution schema to improve spread of the pareto front and computational time. 167-168 - Sumit Mishra, Maxim Buzdalov, Rakesh Senwar:
Time complexity analysis of the dominance degree approach for non-dominated sorting. 169-170 - Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
Learning-based multi-objective optimization through ANN-assisted online Innovization. 171-172 - Miguel A. Rodriguez, Dario F. Lopez, Sergio F. Contreras, Camilo A. Cortés, Johanna M. A. Myrzik:
Performance evaluation of the MOEA/D algorithm for the solution of a microgrid planning problem. 173-174 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front. 175-176 - Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. 177-178 - Bernard van Tonder, Mardé Helbig:
Dynamic Multi-objective Optimisation Problems with Intertemporal Dependencies. 179-180 - Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich:
Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. 181-182 - Jens Weise, Sanaz Mostaghim:
A many-objective route planning benchmark problem for navigation. 183-184 - Sorrachai Yingchareonthawornchai, Proteek Chandan Roy, Bundit Laekhanukit, Eric Torng, Kalyanmoy Deb:
Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting. 185-186
Poster Session: Evolutionary numerical optimization
- Margarita Antoniou, Gregor Papa:
Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study. 187-188 - David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten:
A view of estimation of distribution algorithms through the lens of expectation-maximization. 189-190 - Jhih-Wei Chen, Ming-Chun Lu, Tian-Li Yu:
Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation. 191-192 - Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec:
Performance2vec: a step further in explainable stochastic optimization algorithm performance. 193-194 - Jin Liang Jia, Alfredo Alan Flores Saldivar, Lin Li, Yun Li:
Look-ahead natural evolutionary strategies. 195-196 - Karol R. Opara, Anas A. Hadi, Ali Wagdy Mohamed:
Parametrized Benchmarking: an outline of the idea and a feasibility study. 197-198 - Anna Ouskova Leonteva, Ulviya Abdulkarimova, Tobias M. Wintermantel, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
A quantum simulation algorithm for continuous optimization. 199-200 - Kamrul Hasan Rahi, Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space. 201-202 - Eric Benhamou, David Saltiel, Sébastien Vérel:
Bayesian CMA-ES: a new approach. 203-204 - Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Ágoston E. Eiben:
Differential Evolution with Reversible Linear Transformations. 205-206 - Gabriel Vázquez, Carlos Segura:
Differential evolution with explicit control of diversity for constrained optimization. 207-208
Poster Session: Genetic algorithms
- Glen Cancian, Wayne J. Pullan:
Impact of additional hardware resources on a parallel genetic algorithm. 209-210 - Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. 211-212 - Zhou Hong, Wei Fang, Jun Sun, Xiaojun Wu:
A fast GA for automatically evolving CNN architectures. 213-214 - Rune Krauss, Marcel Merten, Mirco Bockholt, Saman Fröhlich, Rolf Drechsler:
Efficient machine learning through evolving combined deep neural networks. 215-216 - Takumi Nakane, Xuequan Lu, Chao Zhang:
SHX: search history driven crossover for real-coded genetic algorithm. 217-218 - Takatoshi Niwa, Koya Ihara, Shohei Kato:
Cooperative coevolutionary genetic algorithm using hierarchical clustering of linkage tree. 219-220 - Kei Ohnishi, Shota Ikeda, Tian-Li Yu:
A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms. 221-222 - Oliver Withington:
Illuminating super mario bros: quality-diversity within platformer level generation. 223-224
Poster Session: General evolutionary computation and hybrids
- Lukas Atkinson, Robin Müller-Bady, Martin Kappes:
Hybrid bayesian evolutionary optimization for hyperparameter tuning. 225-226 - Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach. 227-228 - Yong-Hoon Kim, Yong-Hyuk Kim:
Finding a better basis on binary representation through DNN-based epistasis estimation. 229-230 - Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized bayesian optimization for problems with expensive evaluation functions. 231-232 - Siddharth Verma, Piyush Borole, Ryan J. Urbanowicz:
Evolving genetic programming trees in a rule-based learning framework. 233-234 - Dong-Pil Yu, Yong-Hyuk Kim:
On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms. 235-236
Poster Session: Genetic programming
- Thomas Helmuth, Amr M. Abdelhady:
Benchmarking parent selection for program synthesis by genetic programming. 237-238 - Thomas Helmuth, Lee Spector, Edward R. Pantridge:
Counterexample-driven genetic programming without formal specifications. 239-240 - Thomas Helmuth, Edward R. Pantridge, Grace Woolson, Lee Spector:
Transfer Learning of Genetic Programming Instruction Sets. 241-242 - Enrique Naredo, Conor Ryan, Ivan Guevara, Tiziana Margaria, Paulo Urbano, Leonardo Trujillo:
General controllers evolved through grammatical evolution with a divergent search. 243-244 - Stefano Ruberto, Valerio Terragni, Jason H. Moore:
Image feature learning with a genetic programming autoencoder. 245-246 - Anil Kumar Saini, Lee Spector:
Why and when are loops useful in genetic programming? 247-248 - Aliyu Sani Sambo, R. Muhammad Atif Azad, Yevgeniya Kovalchuk, Vivek Padmanaabhan Indramohan, Hanifa Shah:
Feature engineering for improving robustness of crossover in symbolic regression. 249-250 - Paulo Santos, Sara Silva, Alcides Fonseca:
Refined typed genetic programming as a user interface for genetic programming. 251-252
Poster Session: Real world applications
- Ulviya Abdulkarimova, Igor Santos Peretta, Anna Ouskova Leonteva, Younes Monjid, Rabih Amhaz, Marc Haegelin, Pierre Collet, Christian Rolando:
A GA for non-uniform sampling harmonic analysis. 253-254 - Mohammad Majid al-Rifaie, Marc Cavazza:
Beer organoleptic optimisation: utilising swarm intelligence and evolutionary computation methods. 255-256 - Andreas Beham, Viktoria A. Hauder, Johannes Karder, Klaus Altendorfer:
Multi-objective optimization for worker cross-training: the tri-objective case. 257-258 - Boonyarit Changaival, Grégoire Danoy, Dzmitry Kliazovich, Frédéric Guinand, Matthias R. Brust, Jedrzej Musial, Kittichai Lavangnananda, Pascal Bouvry:
NGAP: a novel hybrid metaheuristic algorithm for round-trip carsharing fleet planning. 259-260 - João Correia, Fernando Ferreira, Catarina Maçãs:
Cable-stayed bridge optimization solution space exploration. 261-262 - Gary W. Delaney, Gerard David Howard:
Multi-objective exploration of a granular matter design space. 263-264 - Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, Rui Mendes:
A realistic scooter rebalancing system via metaheuristics. 265-266 - Ahsanul Habib, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Wind-turbine design optimization using a many-objective evolutionary algorithm. 267-268 - Max Hort, Federica Sarro:
Optimising word embeddings with search-based approaches. 269-270 - Axel M. Lacapmesure, Sandra Martínez, Oscar E. Martínez:
A new objective function for super-resolution deconvolution of microscopy images by means of a genetic algorithm. 271-272 - Hyeon-Chang Lee, Hwi-Yeon Cho, Yong-Hyuk Kim:
A genetic algorithm for matching oil spill particles. 273-274 - Jun-Qing Li, Hui Yu, Xiaolong Chen, Wenhan Li, Yu Du, Yu-Yan Han:
An improved brain storm optimization algorithm for fuzzy distributed hybrid flowshop scheduling with setup time. 275-276 - Alejandro Lopez Rincon, Aletta D. Kraneveld, Alberto Tonda:
Batch correction of genomic data in chronic fatigue syndrome using CMA-ES. 277-278 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Effective image clustering using self-organizing migrating algorithm. 279-280 - Tien Thanh Nguyen, John McCall, Allan Wilson, Laud Ochei, Helen Corbett, Phil Stockton:
Evolved ensemble of detectors for gross error detection. 281-282 - Hemanta Sapkota, Engin Arslan, Sushil J. Louis:
Real-time genetic optimization of large file transfers. 283-284 - Ernesto Serrano Collado, Mario García Valdez, Juan Julián Merelo Guervós:
Moving target defense through evolutionary algorithms. 285-286 - Siddhartha Shakya, Kin Fai Poon, Khawla AlShanqiti, Anis Ouali, Andrei Sleptchenko:
An application of GA and EDA for passive in-building distributed antenna systems. 287-288 - Andrew Stanton, Akhila Ananthram, Pablo Crespo:
Evolving multi-objective ranking models for GMV optimization in E-Commerce. 289-290 - Raul Horacio Valencia Tenorio, Chiu-Wing Sham, Danilo Vasconcellos Vargas:
Preliminary study of applied binary neural networks for neural cryptography. 291-292 - Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks:
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. 293-294 - Yash Vesikar, Julian Blank, Kalyanmoy Deb, Markku Kallio, Alaleh Maskooki:
Dynamic vessel-to-vessel routing using level-wise evolutionary optimization. 295-296 - Takufumi Yoshida, Daisuke Yamaguchi, Keiichi Handa:
Stochastic simulation optimization benchmarking method in consideration of finite period of service. 297-298 - Xin Zhang, Zhi-Hui Zhan, Jun Zhang:
Multiobjective direction driven local search for constrained supply chain configuration problem. 299-300
Poster Session: Search-based software engineering
- Marie Anastacio, Holger H. Hoos:
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling. 301-302 - Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung, Lamjed Ben Said:
Handling uncertainty in code smells detection using a possibilistic SBSE approach. 303-304 - Luiz Carvalho, Alessandro Garcia, Thelma Elita Colanzi, Wesley K. G. Assunção, Maria Julia de Lima, Baldoino Fonseca, Márcio Ribeiro, Carlos Lucena:
Search-based many-criteria identification of microservices from legacy systems. 305-306 - Motaz Chouchen, Ali Ouni, Mohamed Wiem Mkaouer, Raula Gaikovina Kula, Katsuro Inoue:
Recommending peer reviewers in modern code review: a multi-objective search-based approach. 307-308 - Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Crash reproduction using helper objectives. 309-310 - Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward:
Exploiting fault localisation for efficient program repair. 311-312 - Islem Saidani, Ali Ouni, Moataz Chouchen, Mohamed Wiem Mkaouer:
On the prediction of continuous integration build failures using search-based software engineering. 313-314 - Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo:
A new approach to distribute MOEA pareto front computation. 315-316 - Tao Shi, Hui Ma, Gang Chen:
Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment. 317-318
Poster Session: Theory
- Qamar Askari, Irfan Younas, Mehreen Saeed:
Critical evaluation of sine cosine algorithm and a few recommendations. 319-320 - Marie-Liesse Cauwet, Olivier Teytaud:
Population control meets doob's martingale theorems: the noise-free multimodal case. 321-322 - Karol R. Opara:
Radial model of differential evolution dynamics. 323-324 - Vida Vukasinovic, David Kubon, Riste Skrekovski, Petr Gregor:
Redundant binary representations with rigorous trade-off between connectivity and locality. 325-326
Tutorial Session: Introductory tutorials
- Kenneth A. De Jong:
Evolutionary computation: a unified approach. 327-342 - Kalyanmoy Deb:
Evolutionary multi-objective optimization: past, present and future. 343-372 - Benjamin Doerr:
A gentle introduction to theory (for non-theoreticians). 373-403 - David Ha:
Neuroevolution for deep reinforcement learning problems. 404-427 - Hisao Ishibuchi, Hiroyuki Sato:
Evolutionary many-objective optimization. 428-457 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2020. 458-494 - Risto Miikkulainen:
Evolution of neural networks. 495-511 - Una-May O'Reilly, Erik Hemberg:
Genetic programming: a tutorial introduction. 512-525 - Franz Rothlauf:
Representations for evolutionary algorithms. 526-546 - Ofer M. Shir:
Introductory mathematical programming for EC. 547-560 - Anthony Stein, Masaya Nakata:
Learning classifier systems: from principles to modern systems. 561-589 - Dirk Thierens, Peter A. N. Bosman:
Model-based evolutionary algorithms: GECCO 2020 tutorial. 590-619 - Julian Togelius, Sebastian Risi, Georgios N. Yannakakis:
Evolutionary computation and games. 620-651 - Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. 652-681
Tutorial Session: Advanced tutorials
- Hans-Georg Beyer:
Design principles for matrix adaptation evolution strategies. 682-700 - Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-diversity optimisation. 701-723 - Tome Eftimov, Peter Korosec:
Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. 724-746 - Andries P. Engelbrecht, Christopher W. Cleghorn:
Recent advances in particle swarm optimization analysis and understanding. 747-774 - Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. 775-800 - Sæmundur Óskar Haraldsson, John R. Woodward, Markus Wagner:
Genetic improvement: taking real-world source code and improving it using genetic programming. 801-831 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. 832-858 - Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez:
Decomposition multi-objective optimisation: current developments and future opportunities. 859-876 - Alberto Moraglio, Krzysztof Krawiec:
Semantic genetic programming. 877-900 - Aneta Neumann, Frank Neumann:
Evolutionary computation for digital art. 901-926 - Gregor Papa, Carola Doerr:
Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial. 927-956 - Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. 957-974 - Dirk Sudholt, Giovanni Squillero:
Theory and practice of population diversity in evolutionary computation. 975-992 - Bilel Derbel, Sébastien Vérel:
Fitness landscape analysis to understand and predict algorithm performance for single- and multi-objective optimization. 993-1042 - Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. 1043-1054 - Rui Wang, Jiale Zhi:
A hands-on guide to distributed computing paradigms for evolutionary computation. 1055-1074
Tutorial Session: Specialized tutorials
- Manuel López-Ibáñez, Thomas Stützle:
Automated algorithm configuration and design. 1075-1100 - Gustavo Olague:
Evolutionary computer vision. 1101-1113 - Ali Ouni:
Search based software engineering: challenges, opportunities and recent applications. 1114-1146 - Stjepan Picek, Domagoj Jakobovic:
Evolutionary computation and machine learning in cryptology. 1147-1173 - Lee Spector:
Push. 1174-1189 - Giovanni Squillero, Alberto Tonda:
Evolutionary algorithms and machine learning: Synergies, Challenges and Opportunities. 1190-1205 - Jim Tørresen:
Addressing ethical challenges within evolutionary computation applications: GECCO 2020 tutorial. 1206-1223 - Ryan J. Urbanowicz, Moshe Sipper:
Evolutionary algorithms in biomedical data mining: challenges, solutions, and frontiers. 1224-1253 - Carsten Witt:
Theory of estimation-of-distribution algorithms. 1254-1282 - Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. 1283-1312 - Ivan Zelinka, Roman Senkerik:
Swarm intelligence in cybersecurity. 1313-1342 - Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. 1343-1372
Workshop Session: Workshop evolutionary many-objective optimization
- Kensuke Kano, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. 1373-1380
Workshop Session: Workshop the evolution of robots for the real world
- Shelvin Chand, David Howard:
Path towards multilevel evolution of robots. 1381-1382 - A. E. Eiben, Emma Hart:
If it evolves it needs to learn. 1383-1384 - Toby Howison, Fumiya Iida:
Automatically designing the behaviours of falling paper: the emergence of non-trivial behaviours via interaction with the physical world. 1385-1386 - Edmund R. Hunt:
Evolutionary stress factors for adaptable robot 'personalities'. 1387-1388 - Rodrigo Moreno, Andrés Faiña:
Reusability vs morphological space in physical robot evolution. 1389-1391 - Tønnes F. Nygaard, David Howard, Kyrre Glette:
Real world morphological evolution is feasible. 1392-1394
Workshop Session: Workshop industrial applications of metaheuristics
- Jonathan Gillett, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli:
A pareto front-based metric to identify major bitcoin networks influencers. 1395-1401 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, Iakov Korovin:
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. 1402-1408 - Júlio C. S. N. Pinheiro, José Elias C. Arroyo, Lucas Batista Fialho:
Scheduling unrelated parallel machines with family setups and resource constraints to minimize total tardiness. 1409-1417
Workshop Session: Workshop swarm intelligence algorithms: Foundations, perspectives and challenges
- Rick Boks, Hao Wang, Thomas Bäck:
A modular hybridization of particle swarm optimization and differential evolution. 1418-1425 - Donald Davendra, Magdalena Bialic-Davendra:
Discrete self organizing algorithm for pollution vehicle routing problem. 1426-1433 - Jeffrey Hajewski, Suely Oliveira, David E. Stewart, Laura Weiler:
gBeam-ACO: a greedy and faster variant of Beam-ACO. 1434-1440 - Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Self-organizing migrating algorithm with clustering-aided migration. 1441-1447 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Colour quantisation using self-organizing migrating algorithm. 1448-1453 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. 1454-1459 - Nishant Rodrigues, Chilukuri K. Mohan:
Archive-based swarms. 1460-1467 - Roman Senkerik, Tomas Kadavy, Adam Viktorin, Michal Pluhacek:
Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations. 1468-1475 - Thanh Cong Truong, Tan-Phuoc Huynh, Ivan Zelinka:
Applications of swarm intelligence algorithms countering the cyber threats. 1476-1485
Workshop Session: Workshop decomposition techniques in evolutionary optimization
- Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Incremental lattice design of weight vector set. 1486-1494 - Saúl Zapotecas Martínez, Abel García-Nájera, Humberto Cervantes Maceda:
Multi-objective optimization in the agile software project scheduling using decomposition. 1495-1502
Workshop Session: Workshop genetic and evolutionary computation in defense, security, and risk management
- Jay Patel, Dhathri H. Somavarapu, Deacon Seals, Daniel R. Tauritz, Davide Guzzetti:
Adversarial threats to large satellite networks (ATLAS-N): a coevolutionary approach based on flipit. 1503-1511 - Alina Pacheco Rodríguez, Errin W. Fulp, David J. John, Jinku Cui:
Using evolutionary algorithms and pareto ranking to identify secure virtual local area networks. 1512-1519 - Ernesto Serrano Collado, Mario García Valdez, Juan Julián Merelo Guervós:
Delivering diverse web server configuration in a moving target defense using evolutionary algorithms. 1520-1527 - Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly:
Securing the software defined perimeter with evolutionary co-optimization. 1528-1536 - Zachary Wilkins, Ibrahim Zincir, Nur Zincir-Heywood:
Exploring an artificial arms race for malware detection. 1537-1545
Workshop Session: Workshop interactive methods
- Travis D. DeVault, Robert B. Heckendorn, Terence Soule:
Introducing counterexamples to a robotic agent using clicker training. 1546-1553 - Hayato Shindo, Yan Pei:
Characteristic analysis of auditory perception and aesthetics in sound composition optimization using revised interactive differential evolution. 1554-1561
Workshop Session: Workshop evolutionary computation software systems
- Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda:
Operon C++: an efficient genetic programming framework for symbolic regression. 1562-1570 - Mark Coletti, Eric O. Scott, Jeffrey K. Bassett:
Library for evolutionary algorithms in Python (LEAP). 1571-1579 - Daniel Dorfmeister, Oliver Krauss:
Integrating heuristiclab with compilers and interpreters for non-functional code optimization. 1580-1588 - Peter Jamieson, Ricardo S. Ferreira, José Augusto Miranda Nacif:
GA-lapagos, an open-source c framework including a python-based system for data analysis. 1589-1590 - Juan Julián Merelo Guervós, Mario García Valdez, Sergio Rojas Galeano:
Implementation matters, also in concurrent evolutionary algorithms. 1591-1598 - Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud:
Open source evolutionary structured optimization. 1599-1607
Workshop Session: Workshop real-world applications of continuous and mixed-integer optimization
- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Zahra Movahedi, Iakov Korovin:
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. 1608-1613 - Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal:
Uncertainty quantification methods for evolutionary optimization under uncertainty. 1614-1622
Workshop Session: Workshop on surrogate-assisted evolutionary optimisation
- George De Ath, Jonathan E. Fieldsend, Richard M. Everson:
What do you mean?: the role of the mean function in bayesian optimisation. 1623-1631 - Johan Garcia:
A surrogate-assisted GA enabling high-throughput ML by optimal feature and discretization selection. 1632-1640 - Timothy Man Shui Jim, Ghifari Adam Faza, Pramudita Satria Palar, Koji Shimoyama:
Bayesian methods for multi-objective optimization of a supersonic wing planform. 1641-1643
Workshop Session: Workshop evolutionary algorithms for problems with uncertainty
- Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Solution approaches for the dynamic stacking problem. 1652-1660
Workshop Session: Workshop evolutionary computation for permutation problems
- Matheus de Freitas Araujo, José Elias C. Arroyo, Lucas Batista Fialho:
Tabu search and iterated greedy for a flow shop scheduling problem with worker assignment. 1661-1668 - Anton O. Bassin, Maxim Buzdalov:
The (1 + (λ, λ)) genetic algorithm for permutations. 1669-1677 - Gabriele Di Bari, Marco Baioletti, Valentino Santucci:
An experimental evaluation of the algebraic differential evolution algorithm on the single row facility layout problem. 1678-1684 - Reitze Jansen, Yannick Vinkesteijn, Daan van den Berg:
On the solvability of routing multiple point-to-point paths in manhattan meshes. 1685-1689 - Eneko Osaba, Aritz D. Martinez, Akemi Gálvez, Andrés Iglesias, Javier Del Ser:
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems. 1690-1696 - Igor Pejic, Daan van den Berg:
Monte carlo tree search on perfect rectangle packing problem instances. 1697-1703 - Valentino Santucci, Josu Ceberio, Marco Baioletti:
Gradient search in the space of permutations: an application for the linear ordering problem. 1704-1711
Workshop Session: Workshop parallel and distributed evolutionary inspired methods
- Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Exploiting multi-objective parallel extremal optimization features in dynamic load balancing. 1712-1720 - Cosijopii Garcia-Garcia, María-Guadalupe Martínez-Peñaloza, Alicia Morales-Reyes:
cMOGA/D: a novel cellular GA based on decomposition to tackle constrained multiobjetive problems. 1721-1729 - Nolan H. Hamilton, Errin W. Fulp:
An evolutionary approach for constructing multi-stage classifiers. 1730-1738 - H. David Mathias, Samantha S. Foley:
A parallel two-stage genetic algorithm for route planning. 1739-1746 - Ian Bradley Morgan, Daniel R. Tauritz:
ExaEvo: topological optimization and scalability of evolutionary algorithms. 1747-1755
Workshop Session: Workshop international workshop on learning classifier systems
- Tim Hansmeier, Paul Kaufmann, Marco Platzner:
An adaption mechanism for the error threshold of XCSF. 1756-1764 - Norbert Kozlowski, Olgierd Unold:
Investigating exploration techniques for ACS in discretized real-valued environments. 1765-1773 - Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
PEPACS: integrating probability-enhanced predictions to ACS2. 1774-1781 - David Pätzel, Anthony Stein, Masaya Nakata:
An overview of LCS research from IWLCS 2019 to 2020. 1782-1788 - Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
Generic approaches for parallel rule matching in learning classifier systems. 1789-1797 - Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner:
XCS as a reinforcement learning approach to automatic test case prioritization. 1798-1806 - Abubakar Siddique, Will N. Browne, Gina M. Grimshaw:
Learning classifier systems: appreciating the lateralized approach. 1807-1815 - Robert F. Zhang, Ryan J. Urbanowicz:
A scikit-learn compatible learning classifier system. 1816-1823
Workshop Session: Workshop neuroevolution at work
- Marco Baioletti, Carlos Artemio Coello Coello, Gabriele Di Bari, Valentina Poggioni:
Multi-objective evolutionary GAN. 1824-1831 - Ivan Colucci, Giuseppe Pellegrino, Antonio Della Cioppa, Angelo Marcelli:
Learning to walk - reward relevance within an enhanced neuroevolution approach. 1832-1840 - Divya D. Kulkarni, Shivashankar B. Nair:
Mutational puissance assisted neuroevolution. 1841-1848 - Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu:
GEVO-ML: a proposal for optimizing ML code with evolutionary computation. 1849-1856 - Faisal Waris, Robert G. Reynolds:
Neuro-evolution using game-driven cultural algorithms. 1857-1865
Workshop Session: Workshop visualisation methods in genetic and evolutionary computation
- Thomas M. Green, Timothy L. Andersen:
Using pagerank to uncover patterns in search behavior induced by the bit flip operator. 1866-1871 - Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Visual mapping of multi-objective optimization problems and evolutionary algorithms. 1872-1879
Workshop Session: Workshop evolutionary computation for the automated design of algorithms
- Luis Filipe de Araujo Pessoa, Bernd Hellingrath, Fernando Buarque de Lima Neto:
On the sensitivity analysis of cartesian genetic programming hyper-heuristic. 1880-1888 - Nathaniel R. Kamrath, Aaron Scott Pope, Daniel R. Tauritz:
The automated design of local optimizers for memetic algorithms employing supportive coevolution. 1889-1897 - Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan:
Time-dependent automatic parameter configuration of a local search algorithm. 1898-1905 - Braden N. Tisdale, Aaron Scott Pope, Daniel R. Tauritz:
Dynamic primitive granularity control: an exploration of unique design considerations. 1906-1914
Workshop Session: Workshop good benchmarking practices for evolutionary computation
- Makoto Ohki:
A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set. 1915-1922
Workshop Session: Workshop genetic improvement
- Sebastian Baltes, Markus Wagner:
An annotated dataset of stack overflow post edits. 1923-1925 - Mahmoud A. Bokhari, Markus Wagner, Brad Alexander:
Genetic improvement of software efficiency: the curse of fitness estimation. 1926-1927 - William B. Langdon, Oliver Krauss:
Evolving sqrt into 1/x via software data maintenance. 1928-1936 - Mohsen Mosayebi, Manbir Sodhi:
Tuning genetic algorithm parameters using design of experiments. 1937-1944 - Brittany Reid, Christoph Treude, Markus Wagner:
Optimising the fit of stack overflow code snippets into existing code. 1945-1953
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