The introduction of a multi-population structure in differential evolution (DE) algorithm has bee... more The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strategy selection of each subpopulation during execution is fixed, resulting in poor self-adaptation of subpopulations. To solve this problem, a dynamic multi-strategy integrated differential evolution algorithm based on reinforcement learning (RLDMDE) is proposed in this paper. By employing reinforcement learning, each subpopulation can adaptively select the mutation strategy according to the current environmental state (population diversity). Based on the population state, this paper proposes an individual dynamic migration strategy to "reward" or "punish" the population to avoid wasting individual computing resources. Furthermore, this paper applies two methods of good point set and random opposition-based learning (ROBL) in the population initialization stage to improve the quality of the initial solutions. Finally, to evaluate the performance of the RLDMDE algorithm, this paper selects two benchmark function sets, CEC2013 and CEC2017, and six engineering design problems for testing. The results demonstrate that the RLDMDE algorithm has good performance and strong competitiveness in solving optimization problems.
International journal of biomedical soft computing and human sciences, 2008
Tlie aim ofthis stucly is to build aprotompe ofa multi-camera tracking system that enables us to ... more Tlie aim ofthis stucly is to build aprotompe ofa multi-camera tracking system that enables us to track multiple human motions at one time. Generally, to recognize a single hblman motion is easier than to link multiple human motions. 77iis is because muitiple human motions move to dtfi?irent directions. while a single human motion moves one direction in a certain period IVierojbre, we need a reliable system to track multiple human motions in evei:yframe. In this papeL wepropose a new methodfor human tracking systems usiug foot step direction with prediction formula to forecast the direction oj' human movement. 11his process enables the system to predict the moving direction ofan object, and also gives the signal to other cameras to crvvare the appearance ofan object. 77ie detail outcome and expected result are discussed in thispaper. Key",ords Video tracking system, detection, tracking, object representation. human behavior, human tracking.
Mathematical models are established to represent real-world problems. Since the real-world faces ... more Mathematical models are established to represent real-world problems. Since the real-world faces various types of uncertainties, it makes mathematical model suffers with insufficient uncertainties modeling. The existing models lack of explanation in dealing uncertainties. In this paper, construction of mathematical model for decision making scenario with uncertainties is presented. Primarily, fuzzy random regression is applied to formulate a corresponding mathematical model from real application of a multi-objective problem. Then, a technique in possibilistic theory, known as modality optimization is used to solve the developed model. Consequently, the result shows that a well-defined multi-objective mathematical model is possible to be formulated for decision making problems with the uncertainty. Indeed, such problems with uncertainties can be solved efficiently with the presence of modality optimization.
Shape grammars have been developed from the analyses and creative designs of architecture forms t... more Shape grammars have been developed from the analyses and creative designs of architecture forms to generate the product forms as a computational method recently. All the shape grammars presented in the literature lack explanation about how they were constructed. So trying to create the shape grammar for product becomes very challenging, since it is difficult to induce rules from thousands of models of a particular product without any guidance. The objective of the paper is to propose a systematic approach which enables us to construct the shape grammar for the form of a particular type of a product. A scooter case study illustrates the proposed process for constructing the shape grammar of products.
2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010
... Goal Programming A. Nureize1,2, J. Watada1 1Graduate School of Information, Production and Sy... more ... Goal Programming A. Nureize1,2, J. Watada1 1Graduate School of Information, Production and System, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, 808-0135 Japan. 2Faculty of Information Technology and Multimedia, Universiti Tun Hussein Onn Malaysia, ...
2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009
ABSTRACT The performance measurement of decision maker's evaluation is important to recog... more ABSTRACT The performance measurement of decision maker's evaluation is important to recognize the efficiency of the decision makers in the decision making process. Besides the consideration of attributes, several decision evaluators may involve their preference and judgment. Decision makers tend to provide different evaluation though the same sets of problems are evaluated. Thus, the objectives of this paper are to provide a measure of the decision maker's performance in the fuzzy multi attribute decision making environment. A numerical example is given to illustrate the computational process of the proposed model.
2012 IEEE International Conference on Industrial Engineering and Engineering Management, 2012
ABSTRACT A real-life application faces various kinds of inherent uncertainties which occurs simul... more ABSTRACT A real-life application faces various kinds of inherent uncertainties which occurs simultaneously. To find solution, formulating real world problem into mathematical programming model is challenging. Uncertain parameters in a problem model can be characterized as vagueness, ambiguous and random of the information. Such uncertainties make the existing multi-objective model incapable of handling such situations. Thus, in this paper we present the multi-objective decision model from the perspective of possibilistic programming approach to scrutinize the uncertainties in the decision making. The proposed concept can be used to build model for multi-objective problem which is exposed with various types of uncertainties. We include an illustrative example to explain the model, and highlight its advantages.
The use of general descriptive names, registered names, trademarks, etc. in this publication does... more The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
Traffic signals have been considered a way to improve traffic safety and traffic operations at in... more Traffic signals have been considered a way to improve traffic safety and traffic operations at intersections. This research deals with a significant and effective method to decide the investment for intersection to implement light emitting diodes (LED) signals retrofit. Structural learning method is proposed for a mutual connective neural network in this research. The proposed method enables us to solve problems defined in terms of mixed integer quadratic programming. In this research, an analysis is performed using the concepts of reliability and risks of units evaluated with a variance-covariance matrix and also the effect and expenses of replacement are measured. Mean-variance analysis is formulated as a mathematical programming with the following multiple objectives: (i) to minimize the risk and (ii) to maximize the expected return. Finally, we employ a meta-controlled Boltzmann machine to solve the meanvariance analysis efficiently. The application of the proposed method is illustrated using a LED signal retrofit in Hiroshima Prefecture. The proposed method enables us to obtain a more effective selection of results and enhance the effectiveness of decision making. As conclusions, decision makers can select the investment rate and risk of each intersection within a given total budget.
2011 IEEE International Conference on Industrial Engineering and Engineering Management, 2011
ABSTRACT The decision making faces a number of inherent uncertainties. The uncertainty of paramet... more ABSTRACT The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.
2009 International Conference on Machine Learning and Cybernetics, 2009
ABSTRACT The objective of this paper is to build a real options model under hybrid uncertain envi... more ABSTRACT The objective of this paper is to build a real options model under hybrid uncertain environment of randomness and fuzziness. In order to well describe the real uncertain situation, we utilize fuzzy random variable as a tool to characterize future cash flows, and propose a new real options analysis approach by combing binomial lattice-based model with fuzzy random variable, as named fuzzy random real options analysis (FR-ROA). Then the proposed FR-ROA is applied to an R&D project problem under fuzzy random environment, and the relations of FR-ROA with the classical ROA and the fuzzy ROA are explicitly discussed, respectively.
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
From a historical perspective, two fundamental issues are observed for industrial designers: (1) ... more From a historical perspective, two fundamental issues are observed for industrial designers: (1) what is the shape design process within the context of a modern product design process, and (2) how shape design theories, methods, tools and computer aided software can be effectively utilized for creating product shapes. A framework is proposed to resolve the issues by describing the relationships of the product design problems, product design processes, shape design processes, shape design methods and tools with consideration of the functional, ergonomic, emotional and manufacturing requirements. The framework implemented here is a new type of decision support system (DSS)-an object-oriented decision support system to assist the designers in designing product shapes. I.
2008 3rd International Conference on Innovative Computing Information and Control, 2008
Abstract In many fuzzy programming problems, the objectives and constraints may consist of some e... more Abstract In many fuzzy programming problems, the objectives and constraints may consist of some expected values of prescribed fuzzy variables. Therefore, analyzing the properties of those expected values is helpful to solving the problems. The objective of this paper is to ...
The introduction of a multi-population structure in differential evolution (DE) algorithm has bee... more The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strategy selection of each subpopulation during execution is fixed, resulting in poor self-adaptation of subpopulations. To solve this problem, a dynamic multi-strategy integrated differential evolution algorithm based on reinforcement learning (RLDMDE) is proposed in this paper. By employing reinforcement learning, each subpopulation can adaptively select the mutation strategy according to the current environmental state (population diversity). Based on the population state, this paper proposes an individual dynamic migration strategy to "reward" or "punish" the population to avoid wasting individual computing resources. Furthermore, this paper applies two methods of good point set and random opposition-based learning (ROBL) in the population initialization stage to improve the quality of the initial solutions. Finally, to evaluate the performance of the RLDMDE algorithm, this paper selects two benchmark function sets, CEC2013 and CEC2017, and six engineering design problems for testing. The results demonstrate that the RLDMDE algorithm has good performance and strong competitiveness in solving optimization problems.
International journal of biomedical soft computing and human sciences, 2008
Tlie aim ofthis stucly is to build aprotompe ofa multi-camera tracking system that enables us to ... more Tlie aim ofthis stucly is to build aprotompe ofa multi-camera tracking system that enables us to track multiple human motions at one time. Generally, to recognize a single hblman motion is easier than to link multiple human motions. 77iis is because muitiple human motions move to dtfi?irent directions. while a single human motion moves one direction in a certain period IVierojbre, we need a reliable system to track multiple human motions in evei:yframe. In this papeL wepropose a new methodfor human tracking systems usiug foot step direction with prediction formula to forecast the direction oj' human movement. 11his process enables the system to predict the moving direction ofan object, and also gives the signal to other cameras to crvvare the appearance ofan object. 77ie detail outcome and expected result are discussed in thispaper. Key",ords Video tracking system, detection, tracking, object representation. human behavior, human tracking.
Mathematical models are established to represent real-world problems. Since the real-world faces ... more Mathematical models are established to represent real-world problems. Since the real-world faces various types of uncertainties, it makes mathematical model suffers with insufficient uncertainties modeling. The existing models lack of explanation in dealing uncertainties. In this paper, construction of mathematical model for decision making scenario with uncertainties is presented. Primarily, fuzzy random regression is applied to formulate a corresponding mathematical model from real application of a multi-objective problem. Then, a technique in possibilistic theory, known as modality optimization is used to solve the developed model. Consequently, the result shows that a well-defined multi-objective mathematical model is possible to be formulated for decision making problems with the uncertainty. Indeed, such problems with uncertainties can be solved efficiently with the presence of modality optimization.
Shape grammars have been developed from the analyses and creative designs of architecture forms t... more Shape grammars have been developed from the analyses and creative designs of architecture forms to generate the product forms as a computational method recently. All the shape grammars presented in the literature lack explanation about how they were constructed. So trying to create the shape grammar for product becomes very challenging, since it is difficult to induce rules from thousands of models of a particular product without any guidance. The objective of the paper is to propose a systematic approach which enables us to construct the shape grammar for the form of a particular type of a product. A scooter case study illustrates the proposed process for constructing the shape grammar of products.
2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010
... Goal Programming A. Nureize1,2, J. Watada1 1Graduate School of Information, Production and Sy... more ... Goal Programming A. Nureize1,2, J. Watada1 1Graduate School of Information, Production and System, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, 808-0135 Japan. 2Faculty of Information Technology and Multimedia, Universiti Tun Hussein Onn Malaysia, ...
2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009
ABSTRACT The performance measurement of decision maker's evaluation is important to recog... more ABSTRACT The performance measurement of decision maker's evaluation is important to recognize the efficiency of the decision makers in the decision making process. Besides the consideration of attributes, several decision evaluators may involve their preference and judgment. Decision makers tend to provide different evaluation though the same sets of problems are evaluated. Thus, the objectives of this paper are to provide a measure of the decision maker's performance in the fuzzy multi attribute decision making environment. A numerical example is given to illustrate the computational process of the proposed model.
2012 IEEE International Conference on Industrial Engineering and Engineering Management, 2012
ABSTRACT A real-life application faces various kinds of inherent uncertainties which occurs simul... more ABSTRACT A real-life application faces various kinds of inherent uncertainties which occurs simultaneously. To find solution, formulating real world problem into mathematical programming model is challenging. Uncertain parameters in a problem model can be characterized as vagueness, ambiguous and random of the information. Such uncertainties make the existing multi-objective model incapable of handling such situations. Thus, in this paper we present the multi-objective decision model from the perspective of possibilistic programming approach to scrutinize the uncertainties in the decision making. The proposed concept can be used to build model for multi-objective problem which is exposed with various types of uncertainties. We include an illustrative example to explain the model, and highlight its advantages.
The use of general descriptive names, registered names, trademarks, etc. in this publication does... more The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
Traffic signals have been considered a way to improve traffic safety and traffic operations at in... more Traffic signals have been considered a way to improve traffic safety and traffic operations at intersections. This research deals with a significant and effective method to decide the investment for intersection to implement light emitting diodes (LED) signals retrofit. Structural learning method is proposed for a mutual connective neural network in this research. The proposed method enables us to solve problems defined in terms of mixed integer quadratic programming. In this research, an analysis is performed using the concepts of reliability and risks of units evaluated with a variance-covariance matrix and also the effect and expenses of replacement are measured. Mean-variance analysis is formulated as a mathematical programming with the following multiple objectives: (i) to minimize the risk and (ii) to maximize the expected return. Finally, we employ a meta-controlled Boltzmann machine to solve the meanvariance analysis efficiently. The application of the proposed method is illustrated using a LED signal retrofit in Hiroshima Prefecture. The proposed method enables us to obtain a more effective selection of results and enhance the effectiveness of decision making. As conclusions, decision makers can select the investment rate and risk of each intersection within a given total budget.
2011 IEEE International Conference on Industrial Engineering and Engineering Management, 2011
ABSTRACT The decision making faces a number of inherent uncertainties. The uncertainty of paramet... more ABSTRACT The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.
2009 International Conference on Machine Learning and Cybernetics, 2009
ABSTRACT The objective of this paper is to build a real options model under hybrid uncertain envi... more ABSTRACT The objective of this paper is to build a real options model under hybrid uncertain environment of randomness and fuzziness. In order to well describe the real uncertain situation, we utilize fuzzy random variable as a tool to characterize future cash flows, and propose a new real options analysis approach by combing binomial lattice-based model with fuzzy random variable, as named fuzzy random real options analysis (FR-ROA). Then the proposed FR-ROA is applied to an R&D project problem under fuzzy random environment, and the relations of FR-ROA with the classical ROA and the fuzzy ROA are explicitly discussed, respectively.
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
From a historical perspective, two fundamental issues are observed for industrial designers: (1) ... more From a historical perspective, two fundamental issues are observed for industrial designers: (1) what is the shape design process within the context of a modern product design process, and (2) how shape design theories, methods, tools and computer aided software can be effectively utilized for creating product shapes. A framework is proposed to resolve the issues by describing the relationships of the product design problems, product design processes, shape design processes, shape design methods and tools with consideration of the functional, ergonomic, emotional and manufacturing requirements. The framework implemented here is a new type of decision support system (DSS)-an object-oriented decision support system to assist the designers in designing product shapes. I.
2008 3rd International Conference on Innovative Computing Information and Control, 2008
Abstract In many fuzzy programming problems, the objectives and constraints may consist of some e... more Abstract In many fuzzy programming problems, the objectives and constraints may consist of some expected values of prescribed fuzzy variables. Therefore, analyzing the properties of those expected values is helpful to solving the problems. The objective of this paper is to ...
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