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An Island Model for the No-Wait Flow Shop Scheduling Problem

机译:无等待流水车间调度问题的孤岛模型

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In this paper we present an evolutionary algorithm (EA) for the no-wait flow shop scheduling problem. This is a new island model with special master-slave structure. In all islands runs a hybrid steady-state algorithm that uses truncation selection, uses only mutation for the generation of the descendants and it improves the solutions with two local search procedures. The mutation is based on the new, modified version of "the EVL method", that is a memory based method. The algorithm was tested on benchmark problems; its results are similar to or better than the results of the particle swarm optimization algorithms.
机译:在本文中,我们提出了一种用于无等待流水车间调度问题的进化算法(EA)。这是具有特殊主从结构的新型孤岛模型。在所有岛屿中,都运行一种混合的稳态算法,该算法使用截断选择,仅使用突变来生成后代,并通过两个局部搜索过程改进了解决方案。该突变基于“ EVL方法”的新的修改版本,即基于内存的方法。该算法已针对基准问题进行了测试;其结果类似于或优于粒子群优化算法的结果。

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