OPTIMAL SIZING, GEOMETRICAL AND TOPOLOGICAL DESIGN USING A GENETIC ALGORITHM

被引：88

作者：

GRIERSON, DE

PAK, WH

机构：

[1] Civil Engineering Department, University of Waterloo, Ontario

来源：

STRUCTURAL OPTIMIZATION | 1993年 / 6卷 / 03期

关键词：

D O I：

10.1007/BF01743506

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A genetic algorithm is applied for the optimal design of skeletal building structures accounting for discrete sizing, geometrical and topological variables. An approximate design-fitness evaluation technique is investigated with the aim to improve the numerical efficiency of the genetic search. Two design examples are presented to illustrate the principles involved.

引用

页码：151 / 159

页数：9

共 7 条

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[2] Grierson D.E., Chan C.M., Design optimization of tall steel building frameworks, Optimization of large structural systems (Proc. NATO ASI held in Berchtesgaden, Germany, 1991), pp. 863-872, (1993)
[3] Huebner K.H., Thornton E.A., The finite element method for engineers, (1982)
[4] Jenkins W.M., Towards structural optimization via the genetic algorithm, Comp. & Struct., 40, pp. 1321-1327, (1991)
[5] Kirsch U., Optimal topologies of structures, Appl. Mech. Rev., 42, pp. 223-239, (1989)
[6] Kirsch U., Eisenberger M., Approximate interactive design of large structures, Computing Systems in Engineering, 2, pp. 67-73, (1991)
[7] Manual of steel construction, load and resistance factor design, (1986)

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