Optimum Design of Welded Steel Plate Girder Bridges Using a Genetic Algorithm with Elitism

dc.contributor.author	Kuan-Chen Fu
dc.contributor.author	Yujia Zhai
dc.contributor.author	Saijun Zhou
dc.date.accessioned	2017-05-08T21:25:18Z
dc.date.available	2017-05-08T21:25:18Z
dc.date.copyright	May 2005
dc.date.issued	2005
dc.identifier.other	%28asce%291084-0702%282005%2910%3A3%28291%29.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl/handle/yetl/50832
dc.description.abstract	The genetic algorithm (GA) is a general optimization technique that has some unique features that are especially suitable for structural engineering problems. This work uses a simple GA with elitism to find the optimum design of welded steel plate girder bridges. The objectives are to minimize the weight and the cost of the girders. Two types of plate-girder bridges are studied: a single-span bridge and a two-equal-span continuous bridge. Bridges with various span lengths, in increments of
dc.publisher	American Society of Civil Engineers
dc.title	Optimum Design of Welded Steel Plate Girder Bridges Using a Genetic Algorithm with Elitism
dc.type	Journal Paper
dc.journal.volume	10
dc.journal.issue	3
dc.journal.title	Journal of Bridge Engineering
dc.identifier.doi	10.1061/(ASCE)1084-0702(2005)10:3(291)
dc.tree	Journal of Bridge Engineering:;2005:;Volume ( 010 ):;issue: 003
dc.contenttype	Fulltext