Cooperative game concepts in solving global optimization
dc.contributor.author | Fister, Iztok | |
dc.contributor.author | Iglesias, Andres | |
dc.contributor.author | Galvez, Akemi | |
dc.contributor.author | Ser, Javier Del | |
dc.contributor.author | Osaba, Eneko | |
dc.contributor.institution | Quantum | |
dc.date.accessioned | 2024-07-24T11:52:06Z | |
dc.date.available | 2024-07-24T11:52:06Z | |
dc.date.issued | 2019-06 | |
dc.description | Publisher Copyright: © 2019 IEEE. | |
dc.description.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. | en |
dc.description.sponsorship | Iztok Fister and Iztok Fister Jr. acknowledge the financial support from the Slovenian Research Agency (Research Core Fundings No. P2-0041 and P2-0057). Andres Iglesias and Akemi Galvez would like to thank the the financial support from the projects TIN2017-89275-R (AEI/FEDER, UE) and PDE-GIR (H2020, MSCA program, ref. 778035). Javier Del Ser and Eneko Osaba would like to thank the Basque Government for its funding support through the EMAITEK program. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 8 | |
dc.identifier.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 | |
dc.identifier.citation | conference | |
dc.identifier.doi | 10.1109/CEC.2019.8789970 | |
dc.identifier.isbn | 9781728121536 | |
dc.identifier.uri | https://hdl.handle.net/11556/2154 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85071334646&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings | |
dc.relation.ispartofseries | 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings | |
dc.relation.projectID | Horizon 2020 Framework Programme, H2020, 778035 | |
dc.relation.projectID | Eusko Jaurlaritza | |
dc.relation.projectID | Javna Agencija za Raziskovalno Dejavnost RS, ARRS | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | cooperative games | |
dc.subject.keywords | differential evolution | |
dc.subject.keywords | game theory | |
dc.subject.keywords | multiagent systems | |
dc.subject.keywords | Computational Mathematics | |
dc.subject.keywords | Modeling and Simulation | |
dc.title | Cooperative game concepts in solving global optimization | en |
dc.type | conference output |