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Logistics Distribution Location Based on Particle Swarm Optimization Algorithm

机译:基于粒子群优化算法的物流分布位置

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The aim of logistics distribution center location is to improve the logistics service quality and reduce the transportation cost of goods. The problems are related to both the classical location problem and the vehicle routing problem. This paper proposes logistics distribution center location based on particle swarm optimization algorithm. It models the logistics distribution center location problem considering the user demand and operating cost, then it uses modified particle swarm optimization algorithm to give solution. Experimental result shows that the proposed model and algorithm is effective.
机译:物流配送中心位置的目的是提高物流服务质量,降低货物的运输费用。这些问题与经典位置问题和车辆路由问题有关。本文提出了基于粒子群优化算法的物流配送中心位置。考虑到用户需求和运营成本,它模拟了物流配送中心位置问题,然后它使用修改的粒子群优化算法来提供解决方案。实验结果表明,所提出的模型和算法是有效的。

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