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Evolutionary Computation

Fall 2002, Vol. 10, No. 3, Pages 207-234
(doi: 10.1162/106365602760234081)
© 2002 Massachusetts Institute of Technology
A Species Conserving Genetic Algorithm for Multimodal Function Optimization
Article PDF (650.1 KB)

This paper introduces a new technique called species conservation for evolving paral-lel subpopulations. The technique is based on the concept of dividing the population into several species according to their similarity. Each of these species is built around a dominating individual called the species seed. Species seeds found in the current gen-eration are saved (conserved) by moving them into the next generation. Our technique has proved to be very effective in finding multiple solutions of multimodal optimiza-tion problems. We demonstrate this by applying it to a set of test problems, including some problems known to be deceptive to genetic algorithms.