Genetic algorithms in discrete optimization of steel truss roofs

Koumousis Vlasis, K; Georgiou Panos, G

dc.contributor.author	Koumousis Vlasis, K	en
dc.contributor.author	Georgiou Panos, G	en
dc.date.accessioned	2014-03-01T01:09:54Z
dc.date.available	2014-03-01T01:09:54Z
dc.date.issued	1994	en
dc.identifier.issn	0887-3801	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11239
dc.subject	Discrete Optimization	en
dc.subject	Genetic Algorithm	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Civil	en
dc.subject.other	Logic programming	en
dc.subject.other	Numerical methods	en
dc.subject.other	Optimization	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Roofs	en
dc.subject.other	Steel	en
dc.subject.other	Structural design	en
dc.subject.other	Trusses	en
dc.subject.other	Darwin theory of survival of the fittest	en
dc.subject.other	Design space	en
dc.subject.other	Elitist strategy	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Steel truss roofs	en
dc.subject.other	Algorithms	en
dc.title	Genetic algorithms in discrete optimization of steel truss roofs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0887-3801(1994)8:3(309)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0887-3801(1994)8:3(309)	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	Genetic algorithms have their basis in Darwin's theory of survival of the fittest. These algorithms have been used successfully in genetics and recently in a variety of optimization problems. In this paper, the mixed layout and sizing optimization problem of a typical steel roof is solved using a genetic algorithm for the layout part, and a logic program is used for the sizing optimization of the truss roof. The method is applied to large-design-space problems, and near-optimum solutions are found in reasonable computing time. The genetic algorithm is based on a roulette-wheel reproduction scheme, a single point crossover, and a standard mutation scheme. An elitist strategy is also used that passes the best designs of a generation to the next generation. Numerical results are presented that show the efficiency of the method. Estimates of the various parameters of the algorithm are determined, which render the method an efficient optimization method for discrete structural design problems.	en
heal.publisher	Publ by ASCE, New York, NY, United States	en
heal.journalName	Journal of Computing in Civil Engineering	en
dc.identifier.doi	10.1061/(ASCE)0887-3801(1994)8:3(309)	en
dc.identifier.isi	ISI:A1994QA96700004	en
dc.identifier.volume	8	en
dc.identifier.issue	3	en
dc.identifier.spage	309	en
dc.identifier.epage	325	en