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Multi-warehouse Location of Logistics Based on Dijkstra and Divide-and-Conquer Algorithm

机译:基于Dijkstra和分而治之算法的物流多仓库选址

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Warehouse location is extremely important in the whole logistics system. Existing methods to solve this problem, such as Genetic Algorithm or Simulated Annealing Algorithm, require long-term adjustment to get optimal parameters which need redesign when data set change, therefore these methods are not well universal applicability. This paper proposes a heuristic algorithm based on Dijkstra and Divide-and-Conquer Algorithm. Firstly, the sub-problem blocks are constructed. Then, each block is used to calculate the appropriate warehouses. Finally, re-calculate the whole graph to get the final solution based on previous warehouse locations. Simulation results show that the algorithm in this paper can greatly reduce the computation time while get right solution, moreover, there are good solutions for different graphs, and general applicability is strong.
机译:仓库位置在整个物流系统中极为重要。现有的解决该问题的方法,例如遗传算法或模拟退火算法,需要长期调整以获得最佳参数,当数据集改变时,需要重新设计这些参数,因此这些方法并不是很好的通用性。提出了一种基于Dijkstra和分而治之算法的启发式算法。首先,构造子问题块。然后,将每个块用于计算适当的仓库。最后,重新计算整个图形,以根据先前的仓库位置获得最终解决方案。仿真结果表明,该算法在得到正确解的同时,可以大大减少计算时间,而且对于不同的图都有很好的解,通用性强。

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