Generation and Classification of Structural Topologies With Genetic Algorithm Speciation

[+] Author and Article Information
J. W. Duda, M. J. Jakiela

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

J. Mech. Des 119(1), 127-131 (Mar 01, 1997) (5 pages) doi:10.1115/1.2828774 History: Received September 01, 1995; Revised June 01, 1996; Online January 18, 2008


Extending previous efforts, this article describes how a speciating genetic algorithm is used to distribute subsets of the evolving population of solutions over the design space. This distribution of solutions is analogous to different species exploiting different niches in an ecosystem. In addition to reviewing genetic algorithms with an emphasis on techniques to cause such niche exploitation, we describe how we use statistical cluster analysis techniques to quantify the extent to which a population is speciated and how this measure can be used to probabilistically encourage mating of reasonably similar designs (i.e., intraspecies mating). Results demonstrate the creation of different good designs of characteristically different topology and shape.

Copyright © 1997 by The American Society of Mechanical Engineers
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