Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome

  • Authors:

  • Cuimin Li;Tomoyuki Hiroyasu;Mitsunori Miki

  • Affiliations:

  • Doshisha Univeristy, Kyoto, Japan;Doshisha University, Kyoto, Japan;Doshisha University, Kyoto, Japan

  • Venue:
  • Proceedings of the 10th annual conference on Genetic and evolutionary computation
  • Year:
  • 2008

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Abstract

This paper talks about genetic algorithm (GA) with a stress-based crossover operator (SX) to multi-constrained structural topology optimization. By bitstring chromosome representation, the design variables are very large that result in long computation time. Population size, as the key to cut computation time, is discussed through a number of small population sized experiments. Moreover, we introduce a variable length chromosome to further optimize the topology hierarchically.