To reduce logistics distribution costs and improve distribution efficiency,an improved slime mold optimization algo-rithm based on chaos and traceless mutation was proposed to solve the location problem of agricultural logistics distribution cen-ters.To improve the search accuracy of the algorithm,a population initialization method based on Bernoulli chaotic mapping was designed to improve the uniformity and diversity of population distribution.An elite dynamic guidance was introduced to balance the search and development ability.The random traceless mutation was used to achieve optimal individual mutation and enhance the ability of the population to jump away from a local optimum.An improved slime mold optimization algorithm was used to iteratively optimize the location model of agricultural logistics distribution centers.The results show that using the improved algorithm improves the optimization efficiency and accuracy.After solving the logistics distribution centers location problem,the distribution cost and the efficiency is reduced by 57.27％and 34.61％compared to that of the SMA.
关键词
配送中心选址/物流/黏菌优化算法/精英/混沌映射/动态引导/变异
Key words
distribution center location/logistics/slime mold optimization algorithm/elite/chaotic mapping/dynamic gui-dance/variation
维普
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