PARALEL MAKINALARIN GENETIK ALGORITMA ILE ÇIZELGELENMESINDE MUTASYON ORANININ ETKINLIGI/EFFICIENCY OF MUTATION RATE FOR PARALLEL MACHINE SCHEDULING WITH GENETIC ALGORITHM

Genetic algorithms (GA) have been extensively used in parallel machine scheduling as a type of heuristic method. Depends on rate of operators, GA represents affirmative or negative performance. One of these operators is mutation rate. In this study, we addressed efficiency of mutation rate on GA for...

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Bibliographic Details
Published inEge akademik bakıs Vol. 10; no. 1; p. 199
Main Authors Kocamaz, Murat, Çiçekli, Ural Gökay
Format Journal Article
LanguageTurkish
Published Izmir Ege University Faculty of Economics and Administrative Sciences 01.01.2010
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Summary:Genetic algorithms (GA) have been extensively used in parallel machine scheduling as a type of heuristic method. Depends on rate of operators, GA represents affirmative or negative performance. One of these operators is mutation rate. In this study, we addressed efficiency of mutation rate on GA for parallel machine scheduling. [PUBLICATION ABSTRACT]
ISSN:1303-099X