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An Artificial Bee Colony Algorithm to Solve the Single Row Layout Problem with Clearances

机译:一种人工蜂殖民地算法来解决单行布局问题清关

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The single row layout problem (SRLP) is defined as the optimal arrangement of n machines with varying length along a straight line in order to minimize the weighted sum of distances between all machine pairs. In this paper, an artificial bee colony (ABC) metaheuristic is proposed to solve the SRLP considering sequence-dependent, asymmetric clearances for the first time. The algorithm is evaluated on several benchmark instances selected from literature as well as random generated ones involving up to n= 60 machines. By comparing the computational results, either to optimal or best known solutions, it is revealed that our ABC performs efficiently, especially for instances with sequence-dependent asymmetric clearances.
机译:单行布局问题(SRLP)被定义为N机器的最佳布置,沿着直线具有变化的长度,以便最小化所有机器对之间的距离的加权和。在本文中,提出了一种人工蜂殖民地(ABC)成群化,以解决考虑序列依赖性,不对称间隙的SRLP。在从文献中选择的几个基准实例以及涉及N = 60台机器的随机生成的算法进行评估。通过将计算结果与最佳或最佳已知的解决方案进行比较,揭示了我们的ABC有效地执行,特别是对于具有序列相关的不对称间隙的情况。

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