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- W1949461127 abstract "In our recent research, we gave results of a comparative study of the effects of using several kinds of scheduling evaluation criteria as the fitness function of a genetic algorithm for job-shop scheduling. From these results, we found that the idle time criterion can sometimes provide a good makespan-minimizing schedule for a job-shop scheduling problem. In this paper, according to the above results, we introduce a coevolution process in which both makespan and idle time schedule criteria are employed as the fitness functions in the operation-based genetic algorithm for job-shop scheduling. Additionally, to provide high diversity for the chromosome population, we introduce a sub-evolution process in which the total job waiting time schedule criterion is used as the fitness function in the proposed genetic algorithm." @default.
- W1949461127 created "2016-06-24" @default.
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- W1949461127 date "2002-11-11" @default.
- W1949461127 modified "2023-09-27" @default.
- W1949461127 title "Introducing co-evolution and sub-evolution processes into genetic algorithm for job-shop scheduling" @default.
- W1949461127 cites W2043932195 @default.
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- W1949461127 doi "https://doi.org/10.1109/iecon.2000.972446" @default.
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