Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization

Autor:	Kavitesh Kumar Bali, Rohitash Chandra
Rok vydání:	2015
Předmět:	Competition (economics) Mathematical optimization Cooperative coevolution business.industry Computer science media_common.quotation_subject Decomposition (computer science) Benchmark (computing) Quality (business) Artificial intelligence business Global optimization media_common
Zdroj:	Neural Information Processing ISBN: 9783319265544 ICONIP (3)
DOI:	10.1007/978-3-319-26555-1_15
Popis:	Problem decomposition is an important attribute of cooperative coevolution that depends on the nature of the problems in terms of separability which is defined by the level of interaction amongst decision variables. Recent work in cooperative coevolution featured competition and collaboration of problem decomposition methods that was implemented as islands in a method known as competitive island cooperative coevolution (CICC). In this paper, a multi-island competitive cooperative coevolution algorithm (MICCC) is proposed in which several different problem decomposition strategies are given a chance to compete, collaborate and motivate other islands while converging to a common solution. The performance of MICCC is evaluated on eight different benchmark functions and are compared with CICC where only two islands were utilized. The results from the experimental analysis show that competition and collaboration of several different island can yield solutions with a quality better than the two-island competition algorithm (CICC) on most complex multi-modal problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ddde7725438614062835f62d78cebbfb https://doi.org/10.1007/978-3-319-26555-1_15 Zobrazit plný text záznamu