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RESEARCH PAPERS

Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations

[+] Author and Article Information
C. D. Chapman, M. J. Jakiela

Massachusetts Institute of Technology Department of Mechanical Engineering, Computer-Aided Design Laboratory, Cambridge, MA 02139

J. Mech. Des 118(1), 89-98 (Mar 01, 1996) (10 pages) doi:10.1115/1.2826862 History: Received June 01, 1994; Revised May 01, 1995; Online December 11, 2007

Abstract

The genetic algorithm (GA), an optimization technique based on the theory of natural selection, is applied to structural topology design problems. After reviewing the genetic algorithm and previous research in structural topology optimization, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article first compares our genetic-algorithm-based technique with homogenization methods in the minimization of a structure’s compliance subject to a maximum volume constraint. We then use our technique to generate topologies combining high structural performance with a variety of material connectivity characteristics which arise directly from our discretized design representation. After discussing our findings, we describe potential future work.

Copyright © 1996 by The American Society of Mechanical Engineers
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