Competitive genetic algorithms with application to reliability optimal design

Dimou, CK; Koumousis, VK

dc.contributor.author	Dimou, CK	en
dc.contributor.author	Koumousis, VK	en
dc.date.accessioned	2014-03-01T02:42:13Z
dc.date.available	2014-03-01T02:42:13Z
dc.date.issued	2003	en
dc.identifier.issn	0965-9978	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30870
dc.subject	Competition	en
dc.subject	Genetic algorithms	en
dc.subject	Population dynamics	en
dc.subject	Reliability analysis	en
dc.subject	Structural optimization	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Population statistics	en
dc.subject.other	Reliability	en
dc.subject.other	Optimal design	en
dc.subject.other	Structural optimization	en
dc.title	Competitive genetic algorithms with application to reliability optimal design	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1016/S0965-9978(03)00101-7	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0965-9978(03)00101-7	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	Competition is introduced among the populations of a number of genetic algorithms (GAs) having different sets of parameters. The aim is to calibrate the population size of the GAs by altering the resources of the system, i.e. the allocated computing time. The co-evolution of the different populations is controlled at the level of the union of populations, i.e. the metapopulation, on the basis of statistics and trends of the evolution of every population. Evolution dynamics improve the capacity of the optimization algorithm to find optimum solutions and results in statistically better designs as compared to the standard GA with any of the fixed parameters considered. The method is applied to the reliability based optimal design of simple trusses. Numerical results are presented and the robustness of the proposed algorithm is discussed. (C) 2003 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Advances in Engineering Software	en
dc.identifier.doi	10.1016/S0965-9978(03)00101-7	en
dc.identifier.isi	ISI:000185979200014	en
dc.identifier.volume	34	en
dc.identifier.issue	11-12	en
dc.identifier.spage	773	en
dc.identifier.epage	785	en