GENETIC ALGORITHMS AS AN APPROACH TO CONFIGURATION AND TOPOLOGY DESIGN

被引：216

作者：

CHAPMAN, CD

SAITOU, K

JAKIELA, MJ

机构：

[1] Computer-Aided Design Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA

[2] Ford Motor Company, Cambridge, MA

来源：

JOURNAL OF MECHANICAL DESIGN | 1994年 / 116卷 / 04期

关键词：

D O I：

10.1115/1.2919480

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to problems of structural topology design. An overview of the genetic algorithm will first describe the genetics-based representations and operators used in a typical genetic algorithm search. Then, a review of previous research in structural optimization is provided. A discretized design representation, and methods for mapping genetic algorithm ''chromosomes'' into this representation, is then detailed. Several examples of genetic algorithm-based structural topology optimization are provided: we address the optimization of cantilevered plate topologies, and we investigate methods for optimizing finely-discretized design domains. The genetic algorithm's ability to find families of highly-fit designs is also examined. Finally, a description of potential future work in genetic algorithm-based structural topology optimization is offered.

引用

页码：1005 / 1012

页数：8

共 29 条

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