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Analysis of speciation and niching in the multi-niche crowding GA

✍ Scribed by Walter Cedeño; V.Rao Vemuri

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
304 KB
Volume
229
Category
Article
ISSN
0304-3975

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✦ Synopsis

The multi-niche crowding genetic algorithm (MNC GA) has demonstrated its ability to maintain population diversity and stable subpopulations while allowing di erent species to evolve naturally in di erent niches of the ÿtness landscape. These properties are a consequence, in part, to the e ect of crowding selection and worst among most similar replacement genetic operators. In this paper we take a closer look at these genetic operators and present mathematical results that show their e ect on the population when used in the MNC GA. We also present some guidelines about the parameter values to use in these genetic operators to achieve the desired niching pressure during a run. We conclude with a list of unexplored avenues that might be helpful in a future analysis of the behaviour of the MNC GA.

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