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dc.contributor.authorBelea, Radu
dc.date.accessioned2015-12-21T10:20:09Z
dc.date.available2015-12-21T10:20:09Z
dc.date.issued2003
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/3757
dc.descriptionThe Annals of "Dunarea de Jos" University of Galatien_US
dc.description.abstractIn a parametric optimization problem the genes code the real parameters of the fitness function. There are two coding techniques known under the names of: binary coded genes and real coded genes. The comparison between these two is a controversial subject since the first papers about parametric optimization have appeared. An objective analysis regarding the advantages and disadvantages of the two coding techniques is difficult to be done while different format information is compared. The present paper suggests a gene coding technique that uses the same format for both binary coded genes and for the real coded genes. After unifying the real parameters representation, the next criterion is going to be applied: the differences between the two techniques are statistically measured by the effect of the genetic operators over some random generated fellows.en_US
dc.language.isoenen_US
dc.publisher"Dunarea de Jos" University of Galatien_US
dc.subjectbinary coded genesen_US
dc.subjectexplorationen_US
dc.subjectrandom initialized genesen_US
dc.titleA New Method of Gene Coding for Genetic Algorithm Designed for Parametric Optimizationen_US
dc.typeArticleen_US


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