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Research on Location Optimization of Low-Carbon Cold Chain Logistics Distribution Center by FWA-Artificial Fish Swarm Algorithm

机译:FWA人工鱼类群算法低碳冷链物流配送中心定位优化研究

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The cold chain logistics distribution center connects manufacturers and customers, which is the most important infrastructure in the cold chain logistics, and affects the distribution efficiency of the whole logistics system. Therefore, this paper establishes a location model of cold chain logistics distribution center with the goal of minimizing the total cost, including manufacturers, distribution centers and customers. At the same time, the characteristics of fireworks algorithm are used to improve the deficiency of fish swarm algorithm that is easy to fall into local extreme value in the late stage, and the modified algorithm is applied to the model. The results show that the FWA-artificial fish swarm algorithm can achieve better results in terms of solving accuracy, stability and convergence speed.
机译:冷链物流配送中心连接制造商和客户,这是冷链物流中最重要的基础设施,并影响整个物流系统的分配效率。 因此,本文建立了冷链物流配送中心的位置模型,实现了最大限度地减少总成本,包括制造商,分销中心和客户的目标。 同时,烟花算法的特征用于改善鱼群算法的缺陷,该算法易于陷入阶段的局部极值,并且将修改的算法应用于模型。 结果表明,FWA-人工鱼类群算法在求解精度,稳定性和收敛速度方面可以实现更好的结果。

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