Cooperative game concepts in solving global optimization

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URI: https://hdl.handle.net/11556/2154
ISBN: 9781728121536
DOI: 10.1109/CEC.2019.8789970
Publication date
2019-06
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Institute of Electrical and Electronics Engineers Inc.
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Abstract
Nowadays, cooperative game theory has been applied to many domains of human activities. In this study, the cooperative game concept needed for calculating Shapley value is used in solving global optimization. Precisely, the marginal contribution that an agent carries by joining a coalition is calculated as an increase in population diversity of coalition. This concept is incorporated into differential evolution and its self-adaptive variants jDE in order to show that distributing the monolithic population of solutions into more coalitions and their parallel evolution can improve the results of the original algorithms.
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Publisher Copyright: © 2019 IEEE.
Keywords
cooperative games , differential evolution , game theory , multiagent systems , Computational Mathematics , Modeling and Simulation
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conference output
Citation
Fister , I , Iglesias , A , Galvez , A , Ser , J D & Osaba , E 2019 , Cooperative game concepts in solving global optimization . in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings . , 8789970 , 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , pp. 1525-1532 , 2019 IEEE Congress on Evolutionary Computation, CEC 2019 , Wellington , New Zealand , 10/06/19 . https://doi.org/10.1109/CEC.2019.8789970
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