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Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem

机译:开发一个有效的基于分解的程序来解决二次分配问题

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The quadratic assignment problem is involved with designing the best layouts for facilities and has a wide variety of applications in industry. This paper presents a decomposition-based procedure for solving this NP-hard optimization problem. The procedure aims at enhancing an initial solution in five interacting and synergetic layers. In the first layer, the initial solution undergoes the process of local search and becomes local optimal. In the second layer, the linear assignment technique is called and results in a suggestion for an enhancement. The third layer is about decomposing the proposed suggestion into several cycles. Then, in the fourth layer, each cycle is further decomposed into several segments. The number of the segments associated with each cycle is the length of the corresponding cycle, which was calculated in the third layer. Finally, the segments are processed in the fifth layer and potentially enhance the original solution. The employed decomposition has proved to be effective, and comparing the performance of the procedure with that of other state-of-the-art procedures indicates its efficiency.
机译:二次分配问题涉及为设施设计最佳布局,并且在工业中具有广泛的应用。本文提出了一种基于分解的程序来解决该NP难优化问题。该过程旨在在五个相互作用和协同作用的层中增强初始解决方案。在第一层中,初始解经历了局部搜索过程并变为局部最优。在第二层中,调用线性分配技术,并提出了增强建议。第三层是将提出的建议分解为几个周期。然后,在第四层中,每个循环进一步分解成几个段。与每个循环关联的段数是相应循环的长度,该长度在第三层中计算得出。最后,在第五层中处理段,并有可能增强原始解决方案。已证明所采用的分解是有效的,并且将该程序的性能与其他最新程序的性能进行比较表明了其效率。

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