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Genetic algorithm operators restricted to precedent constraint sets: genetic algorithm designs with or without branch and bound approach for solving scheduling problems with disjunctive constraints

机译:遗传算法算子仅限于先例约束集:遗传算法设计有或没有分支和绑定方法,用于解决分离限制的调度问题

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We consider any scheduling problem in which the decisions to be made consist in choosing the direction of a set of disjunctive edges. To represent either any set of feasible solutions where some choices are already done on a sub-set of disjunctive edges or any feasible solution, we designed a ternary direct coding. This ternary coding may be integrated both into branch and bound approaches (BaB) and into genetic algorithm approaches (GA). We describe the genetic operators associated with this ternary direct coding. We then show how GA may be strongly integrated into a BaB algorithm using a single machine example 1///spl Sigma/T/sub i/, where Emmons dominant properties may be incorporated using again the same ternary direct coding. The paper ends with some numerical examples.
机译:我们考虑任何调度问题,其中要制造的决定在选择一组分离边缘的方向方面包括。要代表任何一组可行的解决方案,其中已经在分离边缘的子集或任何可行的解决方案上完成了某些选择,我们设计了一个三元直接编码。该三元编码可以集成到分支和绑定方法(BAB)中并进入遗传算法(GA)。我们描述了与此三元直接编码相关的遗传算子。然后,我们示出了使用单个机器示例1 //命令spl sigma / t / sub i /的Ga如何强烈地集成到Bab算法中,其中可以使用相同的三元直接编码来掺入Emmons主导属性。本文以一些数值例子结束。

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