Optimum design of steel frames using a multiple-deme GA with improved reproduction operators

Safari, Davoud, Maheri, Alireza and Maheri, Mahmoud (2011) Optimum design of steel frames using a multiple-deme GA with improved reproduction operators. Journal of Constructional Steel Research, 67 (8). pp. 1232-1243. ISSN 1873-5983

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Abstract

In this paper, the performance of the genetic algorithm is improved by introducing some new crossover and mutation operators. The new operators are incorporated into a multiple-deme genetic algorithm in which population is divided into subpopulations and communication between different demes is established through migration of individuals, enhancing diversity and resulting in better solutions. This algorithm is applied to the minimum weight design of steel frames subjected to actual strength and ductility constraints of AISC–ASD specifications as well as other serviceability and constructability constraints. The efficiency of the proposed method is demonstrated through optimising two benchmark problems including a three-bay, three-storey steel frame and a five-bay, 22-storey special steel frame. Significant improvements in the optimum solutions are obtained with reduced number of finite element analyses, resulting in less computational effort.

Item Type:	Article
Uncontrolled Keywords:	structural optimisation, multiple-deme genetic algorithm, modified crossover, modified mutation
Subjects:	H200 Civil Engineering H300 Mechanical Engineering
Department:	Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User:	EPrint Services
Date Deposited:	13 Oct 2011 09:33
Last Modified:	31 Jul 2021 08:40
URI:	http://nrl.northumbria.ac.uk/id/eprint/755

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