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Application research of flow shop scheduling optimum based on genetic algorithm

机译:基于遗传算法的流水车间调度优化的应用研究

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Flow shop scheduling optimum is an important research field in flow shop manufactures enterprise. A optimum method for parallel multi machines flow shop schedule based on genetic algorithm by hybridising and mutating operators is provided with minimum weighted absolute delay time, the optimum solution based on genetic algorithm is proved to be effective by actual example.
机译:流水车间调度的优化是流水车间制造企业的重要研究领域。通过混合变异算子的遗传算法,提出了一种基于遗传算法的并行多机车间调度的优化方法,并通过实例证明了基于遗传算法的最优解是有效的。

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