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Yard Storage Assignment Optimisation with Neutral Walks

机译:使用中性步道优化堆场存储分配

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In this paper we investigate how to stack products on a storage yard for efficient retrieval. The objective is to minimise both the transport distance and the number of stack shuffles. Previous research on yard storage assignment indicated that the fitness landscape of the problem features a high degree of neutrality, meaning that there are many neighbouring solutions with identical objective value. We exploit this property and couple local search, tabu search and evolution strategy with neutral walks and extrema selection. A small benchmark instance can be solved to optimality with all three modified algorithm variants while the standard algorithms got stuck in local optima.
机译:在本文中,我们研究了如何将产品堆叠在存储场上以进行有效的检索。目的是最小化运输距离和堆叠洗牌的数量。先前关于堆场存储分配的研究表明,该问题的适应度特征具有高度中立的特征,这意味着有许多相邻的具有相同目标值的解决方案。我们利用此属性,并将本地搜索,禁忌搜索和进化策略与中性行走和极值选择结合在一起。一个小的基准实例可以使用所有三个修改的算法变体来解决最优性,而标准算法则陷入局部最优状态。

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