Green development is the hot spot of cold chain logistics today. Therefore, this paper converts carbon emission into carbon emission cost, comprehensively considers cargo damage, refrigeration, carbon emission, time window, and other factors, and establishes the optimization model of location of low-carbon cold chain logistics in the Beijing-Tianjin-Hebei metropolitan area. Aiming at the problems of the fish swarm algorithm, this paper makes full use of the fireworks algorithm and proposes an improved fish swarm algorithm on the basis of the fireworks algorithm. By introducing the explosion, Gaussian mutation, mapping and selection operations of the fireworks algorithm, the local search ability and diversity of artificial fish are enhanced. Finally, the modified algorithm is applied to optimize the model, and the results show that the location scheme of low-carbon cold chain logistics in Beijing-Tianjin-Hebei metropolitan area with the lowest total cost can be obtained by using fireworks-artificial fish swarm algorithm.

中文翻译：

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FWA-人工鱼群算法在京津冀都市圈低碳冷链物流配送中心选址中的应用

绿色发展是当今冷链物流的热点。因此，本文将碳排放转化为碳排放成本，综合考虑货损、冷藏、碳排放、时间窗口等因素，建立京津冀低碳冷链物流选址优化模型。大都市区。针对鱼群算法存在的问题，本文充分利用烟花算法，在烟花算法的基础上提出了一种改进的鱼群算法。通过引入烟花算法的爆炸、高斯变异、映射和选择操作，增强了人工鱼的局部搜索能力和多样性。最后，应用修改后的算法对模型进行优化，