无迹变异黏菌优化农产品物流配送中心选址算法  

Location algorithm for agricultural logistics distribution center based on traceless variation slime mold optimization

作　　者：王艺多 王会阳 WANG Yi-duo;WANG Hui-yang(School of Management Engineering,Jilin Institute of Building Science and Technology,Changchun 130000,China;School of Education,Changchun Normal University,Changchun 130000,China)

机构地区：[1]吉林建筑科技学院管理工程学院,吉林长春130000 [2]长春师范大学教育学院,吉林长春130000

出　　处：《计算机工程与设计》2024年第12期3820-3826,共7页Computer Engineering and Design

基　　金：吉林省重点基金项目(20200948)。

摘　　要：为降低物流配送成本,提高配送效率,提出一种混沌无迹变异黏菌优化算法求解农业物流配送中心选址问题。为提高算法搜索精度,设计Bernoulli混沌映射种群初始化方法,提高种群分布均匀性、多样性;引入精英动态引导兼顾算法搜索与开发平衡;设计随机无迹变异实现最优个体变异,协助种群跳离局部最优,以改进算法对农产品物流配送中心选址寻优。实验结果表明,改进算法能提升寻优效率和精度,配送成本比SMA降低了57.27%,效率提升了34.61%。To reduce logistics distribution costs and improve distribution efficiency,an improved slime mold optimization algorithm based on chaos and traceless mutation was proposed to solve the location problem of agricultural logistics distribution centers.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 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]