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Genetic algorithm has been successfully applied to fuzzy job shop scheduling problem, however, the coding and decoding strategies of the problem aren't fully investigated. This paper presents an efficient random key genetic algorithm (RKGA) for the problem to minimize the maximum fuzzy completion time. RKGA uses a novel random key representation, a new decoding strategy and discrete crossover. RKGA...
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