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Enriched metaheuristics for the resource constrained unrelated parallel machine scheduling problem

机译:资源受限的无关并行机调度问题的丰富元启发法

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A Scatter Search algorithm together with an enriched Scatter Search and an enriched Iterated Greedy for the unrelated parallel machine problem with one additional resource are proposed in this paper. The optimisation objective is to minimise the maximum completion of the jobs on the machines, that is, the makespan. All the proposed methods start from the best known heuristic for the same problem. Non feasible solutions are allowed in all the methods and a Repairing Mechanism is applied to obtain a feasible solution from a resource constraint point of view. All the proposed algorithms apply different local search procedures based on insertion, swap and restricted neighbourhoods. Computational experiments are carried out using an exhaustive benchmark of instances. After analysing the results, we can conclude that the enriched methods obtain superior results, outperforming the best known solutions for the same problem. (C) 2019 Elsevier Ltd. All rights reserved.
机译:针对不相关的并行机问题,提出了一种分散搜索算法,并结合了丰富的分散搜索和丰富的迭代贪婪算法。优化目标是最大程度地减少机器上作业(即制造期)的最大完成量。所有提出的方法都从针对同一问题的最著名的启发式方法开始。在所有方法中都允许使用不可行的解决方案,并采用修复机制从资源约束的角度获得可行的解决方案。所有提出的算法都基于插入,交换和受限邻居应用了不同的本地搜索过程。计算实验是使用实例的详尽基准进行的。对结果进行分析后,我们可以得出结论,丰富的方法可以获得更好的结果,优于针对同一问题的最著名的解决方案。 (C)2019 Elsevier Ltd.保留所有权利。

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