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dc.contributor.authorLi, Jian-Ping*
dc.contributor.authorBalazs, M.E.*
dc.contributor.authorParks, G.T.*
dc.contributor.authorClarkson, P.J.*
dc.date.accessioned2009-09-29T08:01:53Z
dc.date.available2009-09-29T08:01:53Z
dc.date.issued2002
dc.identifier.citationLi, 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.en
dc.identifier.urihttp://hdl.handle.net/10454/3532
dc.descriptionNoen
dc.description.abstractThis 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.en
dc.language.isoenen
dc.relation.isreferencedbyhttp://dx.doi.org/10.1162/106365602760234081en
dc.subjectGenetic algorithmsen
dc.subjectMultimodal functionsen
dc.subjectNichingen
dc.subjectSpeciesen
dc.subjectSpecies conservationen
dc.titleA species conserving genetic algorithm for multimodal function optimization.en
dc.status.refereedYesen
dc.typeArticleen
dc.type.versionNo full-text available in the repositoryen


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