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A relative position-coded differential evolution for loop-based station sequencing problem

机译:基于循环的站排序问题的相对位置编码差分进化

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摘要

Loop layout is very common in flexible manufacturing systems. The quality of the layout scheme directly affects productivity of flexible manufacturing systems. The loop-based station sequencing problem (LSSP) that determines the arrangement of the facilities around a closed loop belongs to the category of the combinatorial optimisation problem, which is known to be NP-Hard. Therefore, the heuristic and meta-heuristic methods are generally adopted to solve the LSSP. In order to improve the existing methods, this paper takes into consideration the permutation property of the LSSP, and proposes an integer-coded differential evolution (DE) algorithm, named as relative position-coded DE. Compared with existing real-coded DEs, the proposed algorithm possesses the following favourable characteristics: (1) it does not need mapping from floating point vectors to integer sequence; (2) the coding space of the new algorithm corresponds with the solution space of LSSP; (3) it avoids the illegal chromosomes in the solving process. Experimental results showed that the proposed relative position-coded DE outperforms the existing DEs, GA, PSO, and SA, especially in the case of large-scale LSSP.
机译:回路布局在柔性制造系统中非常常见。布局方案的质量直接影响柔性制造系统的生产率。确定基于闭环的设施布置的基于环的站点排序问题(LSSP)属于组合优化问题的类别,已知为NP-Hard。因此,通常采用启发式和元启发式方法来求解LSSP。为了改进现有的方法,本文考虑了LSSP的置换性质,提出了一种整数编码的差分进化算法,称为相对位置编码的DE。与现有的实编码DE​​相比,该算法具有以下优点:(1)不需要从浮点向量到整数序列的映射; (2)新算法的编码空间与LSSP的解空间相对应; (3)避免了求解过程中的非法染色体。实验结果表明,提出的相对位置编码DE优于现有的DE,GA,PSO和SA,特别是在大型LSSP的情况下。

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