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Diploid Genetic Algorithm with Mortality

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dc.contributor.author Makhotilo, KV en
dc.date.accessioned 2014-03-01T02:04:28Z
dc.date.available 2014-03-01T02:04:28Z
dc.date.issued 2011 en
dc.identifier.issn 1064-2315 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29437
dc.subject diploid genetic algorithm en
dc.subject optimization en
dc.subject perfection en
dc.subject probabilistic reduction en
dc.subject duration of existence of individual en
dc.subject population size en
dc.subject Haldane's estimation of cost for substitute en
dc.subject demographic statistics en
dc.subject efficiency of method en
dc.subject problems of synthesis en
dc.subject forward directed neural networks en
dc.subject.other NEURAL NETWORKS en
dc.title Diploid Genetic Algorithm with Mortality en
heal.type journalArticle en
heal.language English en
heal.publicationDate 2011 en
heal.abstract The method of perfection of diploid genetic algorithm of optimization by means of probabilistic reduction of duration of existence of individual was suggested. Average duration of individual life is defined depending on population size, based on Haldane's estimation of cost for substitute. Law and parameters of distribution of probability of individual mortality were determined by data of demographic statistics. We showed efficiency of method on development of problems of synthesis of forward directed neural networks. en
heal.publisher BEGELL HOUSE INC en
heal.journalName JOURNAL OF AUTOMATION AND INFORMATION SCIENCES en
dc.identifier.isi ISI:000293035900006 en
dc.identifier.volume 43 en
dc.identifier.issue 6 en
dc.identifier.spage 60 en
dc.identifier.epage 73 en


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