GENETIC SEARCH STRATEGIES IN MULTICRITERION OPTIMAL-DESIGN

被引：425

作者：

HAJELA, P

LIN, CY

机构：

[1] Mechanical Engineering and Mechanics, Rensselaer Polytechnic Institute, Troy, New York

[2] Aerospace Engineering, Mechanics and Engineering Science, University of Florida, Gainsville

来源：

STRUCTURAL OPTIMIZATION | 1992年 / 4卷 / 02期

关键词：

D O I：

10.1007/BF01759923

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.

引用

页码：99 / 107

页数：9

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