A species conserving genetic algorithm for multimodal function optimization.
Balazs, M.E. Parks, G.T. Clarkson, P.J.
Balazs, M.E.
Parks, G.T.
Clarkson, P.J.
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2002
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Abstract
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.
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Li, J.P., Balazs, M.E., Parks, G.T. and Clarkson, P.J. (2002). A species conserving genetic algorithm for multimodal function optimization. Evolutionary Computation. Vol. 10, No. 3, pp. 207-234.
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