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.
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March 1996
Research Papers
Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations
C. D. Chapman,
C. D. Chapman
Massachusetts Institute of Technology Department of Mechanical Engineering, Computer-Aided Design Laboratory, Cambridge, MA 02139
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M. J. Jakiela
M. J. Jakiela
Massachusetts Institute of Technology Department of Mechanical Engineering, Computer-Aided Design Laboratory, Cambridge, MA 02139
e-mail: jakiela@mit.edu
Search for other works by this author on:
C. D. Chapman
Massachusetts Institute of Technology Department of Mechanical Engineering, Computer-Aided Design Laboratory, Cambridge, MA 02139
M. J. Jakiela
Massachusetts Institute of Technology Department of Mechanical Engineering, Computer-Aided Design Laboratory, Cambridge, MA 02139
e-mail: jakiela@mit.edu
J. Mech. Des. Mar 1996, 118(1): 89-98 (10 pages)
Published Online: March 1, 1996
Article history
Received:
June 1, 1994
Revised:
May 1, 1995
Online:
December 11, 2007
Citation
Chapman, C. D., and Jakiela, M. J. (March 1, 1996). "Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations." ASME. J. Mech. Des. March 1996; 118(1): 89–98. https://doi.org/10.1115/1.2826862
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