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
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
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