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Optimum Design of Two-Dimensional Steel Structures Using Genetic Algorithms  

Kim, Bong-Ik (Division of Civil and Environmental Engineering, Gyeongsang University)
Kwon, Jung-Hyun (Division of Civil and Environmental Engineering, Gyeongsang University)
Publication Information
Journal of Ocean Engineering and Technology / v.21, no.2, 2007 , pp. 75-80 More about this Journal
Abstract
The design variables for structural systems, in most practical designs, are chosen from a list of discrete values, which are commercially available sizing. This paper presents the application of Genetic Algorithms for determining the optimum design for two-dimensional structures with discrete and pseudocontinuous design variables. Genetic Algorithms are heuristic search algorithms and are effective tools for finding global solutions for discrete optimization. In this paper, Genetic Algorithms are used as the method of Elitism and penalty parameters, in order to improve fitness in the reproduction process. Examples in this paper include: 10 bar planar truss and 1 bay 8-story frame. Truss with discrete and pseudoucontinuous design variables and steel frame with W-sections are used for the design of discrete optimization.
Keywords
Discrete optimization; Truss; Frame; Genetic algorithms;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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