Genetic algorithms in a multi-criterion optimal detailing of reinforced concrete members

Koumousis, VK; Arsenis, SJ

dc.contributor.author	Koumousis, VK	en
dc.contributor.author	Arsenis, SJ	en
dc.date.accessioned	2014-03-01T02:48:16Z
dc.date.available	2014-03-01T02:48:16Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33676
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0028741122&partnerID=40&md5=a7e06cc49e1c85f37c8b42f8b05b1475	en
dc.subject.other	Optimization	en
dc.subject.other	Performance	en
dc.subject.other	Reinforced concrete	en
dc.subject.other	Structural design	en
dc.subject.other	Multicriterion objective	en
dc.subject.other	Variable mutation scheme	en
dc.subject.other	Weighting factors	en
dc.subject.other	Genetic algorithms	en
dc.title	Genetic algorithms in a multi-criterion optimal detailing of reinforced concrete members	en
heal.type	conferenceItem	en
heal.publicationDate	1994	en
heal.abstract	Genetic algorithm is used for the optimal detailed design of reinforced concrete members of multi-storey building. The method synthesises the information from the cross-sectional level, to the member-level and finally to a group of members where the detailed design of the whole group is decided. It is based on a roulette-wheel reproduction scheme, single point crossover and constant or variable mutation scheme. The method decides the detailed design on the basis of a multi-criterion objective that represents a compromise between a minimum weight design, a maximum uniformity and the minimum number of bars for a group of members.	en
heal.publisher	Civil-Comp Limited, Edinburgh, United Kingdom	en
heal.journalName	International Conference on Computational Structures Technology - Proceedings	en
dc.identifier.spage	233	en
dc.identifier.epage	240	en