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A genetic algorithm for the flowshop scheduling problem
Authors:Qi Yuesheng  Wang Baozhong  Kang Lishan
Affiliation:(1) State Key Laboratory of Software Engineering, Wuhan University, 430072 Wuhan, China
Abstract:The flowshop scheduling problem is NP complete. To solve it by genetic algorithm, an efficient crossover operator is designed. Compared with another crossover operator, this one often finds a better solution within the same time. Supported by the National Natural Science Foundation of China and 863 High Technology Project of China Qi Yuesheng: born in 1967, Ph. D.
Keywords:genetic algorithm  crossover operator  flowshop scheduling problem  combinatorial optimization
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