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- W1983392892 abstract "In this paper genetic algorithm (GA) is developed and applied to the optimizing or rationalizing permutation problems with FMS scheduling as an example. Special methods of genetic coding for permutations, fitness function definitions, crossover and mutation operations are designed and tested. A novel catastrophe technique is suggested to rescue the GA procedure from evolution halt. The effectiveness of GA for permutation problems is identified by computational experiments." @default.
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- W1983392892 date "1995-08-28" @default.
- W1983392892 modified "2023-10-16" @default.
- W1983392892 title "<title>Intelligent permuting and its optimization</title>" @default.
- W1983392892 doi "https://doi.org/10.1117/12.217543" @default.
- W1983392892 hasPublicationYear "1995" @default.
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