Genetic algorithms in a competitive environment with application to reliability optimal design

Dimou, C; Koumousis, V

dc.contributor.author	Dimou, C	en
dc.contributor.author	Koumousis, V	en
dc.date.accessioned	2014-03-01T02:41:53Z
dc.date.available	2014-03-01T02:41:53Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30654
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791242&partnerID=40&md5=073cb1de359b6a89b1a09796b1f9af27	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791242&partnerID=40&md5=073cb1de359b6a89b1a09796b1f9af27	en
dc.subject	Genetic algorithm	en
dc.subject	Population dynamics	en
dc.subject	Reliability analysis	en
dc.subject	Structural optimization	en
dc.subject.other	Competition	en
dc.subject.other	Population statistics	en
dc.subject.other	Set theory	en
dc.subject.other	Structural optimization	en
dc.subject.other	Population dynamics	en
dc.subject.other	Genetic algorithms	en
dc.title	Genetic algorithms in a competitive environment with application to reliability optimal design	en
heal.type	conferenceItem	en
heal.publicationDate	2001	en
heal.abstract	A study was performed on genetic algorithm (GA) in a competitive environment with application to reliability optimal design. The aim was to calibrate the size of the population of GA by altering the resources of the system. It was found that the proposed competitive algorithm controlled the evolution process favouring the expansion of promising populations and the contraction of the weak ones in a statistical sense.	en
heal.journalName	Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering	en
dc.identifier.spage	89	en
dc.identifier.epage	90	en