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                                       Details for article 55 of 99 found articles
 
 
  PARALEL MAKİNALARIN GENETİK ALGORİTMA İLE ÇİZELGELENMESİNDE MUTASYON ORANININ ETKİNLİĞİ = EFFICIENCY OF MUTATION RATE FOR PARALLEL MACHINE SCHEDULING WITH GENETIC ALGORITHM
 
 
Title: PARALEL MAKİNALARIN GENETİK ALGORİTMA İLE ÇİZELGELENMESİNDE MUTASYON ORANININ ETKİNLİĞİ = EFFICIENCY OF MUTATION RATE FOR PARALLEL MACHINE SCHEDULING WITH GENETIC ALGORITHM
Author: Murat KOCAMAZ
Ural Gökay ÇİÇEKLİ
Appeared in: Ege akademik bakis
Paging: Volume 10 (2010) nr. 1 pages 199-210
Year: 2010
Contents: 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.
Publisher: Ege University (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 55 of 99 found articles
 
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