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Yard Storage Assignment Optimisation with Neutral Walks

机译:院子里的存储分配优化与中性散步

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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,我们调查如何在存储码上堆叠产品以获得有效的检索。目的是最小化运输距离和堆叠混洗的数量。以前关于围场存储分配的研究表明,问题的健身景观具有高度中立程度,这意味着有许多具有相同目标值的相邻解决方案。我们利用了这个属性和耦合本地搜索,禁忌搜索和演进策略,具有中性散步和极值选择。使用所有三种修改的算法变体都可以解决一个小型基准实例,而标准算法卡在本地Optima中,则可以解决所有三种修改的算法变体。

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