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On Permutation Representations for Scheduling Problems

机译:关于调度问题的置换表示

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In this paper we concentrate on job shop scheduling as a representative of constrained combinatorial problems. We introduce a new permutation representation for this problem. Three crossover operators, different in tending to preserve the relative order, the absolute order, and the position in the permutation, are defined. By experiment we observe the strongest phenotypical correlation between parents and offspring when respecting the absolute order. It is shown that a genetic algorithm using an operator which preserves the absolute order also obtains a superior solution quality.
机译:在本文中,我们专注于就业店调度作为约束组合问题的代表。我们为此问题介绍了一个新的排列表示。定义了三个交叉运算符,倾向于保留相对顺序,绝对顺序和排列中的位置的不同。通过实验,我们在尊重绝对秩序时观察父母与后代的最强表型相关性。结果表明,使用操作员的遗传算法,该遗传算法保留绝对顺序也获得了优异的解决方案质量。

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