摘要
冷链物流的绿色发展已成为国家十三五发展的热点,在分析冷链物流配送环节各种成本基础上,以车载容量和时间窗为约束,构建综合总成本最小化的冷链低碳物流配送路径优化模型.将细菌觅食算法中的复制操作和趋向操作引入基本蚁群算法中,改善了算法的收敛效率和全局搜索能力,提出了细菌觅食一蚁群算法用于求解冷链低碳物流配送路径优化模型.通过实例仿真表明,在求解冷链低碳物流配送路径优化模型方面,细菌觅食—蚁群算法能够以更高的效率寻找到更低的综合总成本,验证了改进算法的合理性和有效性.
Green development of cold chain logistics is one of the focus issue at present. On the basis of analyzing the costs of cold chain logistics, with the constraint of vehicle load and time windows, cold chain low carton logistics distribution routing optimization model with the objective of minimizing total cost is constructed. The reproduction operation and the chemotaxis operation are introduced to ant colony optimization to improve the convergence efficiency and global search capability, bacteria foraging ant colony optimization algorithm is proposed to solve the cold chain low carton logistics distribution route optimization model. Through a case simulation and comparison results show that bacteria foraging ant colony optimization algorithm can get less cost efficiently in solving the cold chain low carton logistics distribution routing optimization model, verified the reasonableness and effectiveness of this improved algorithm.
作者
肖超
张立毅
费腾
XIAO Chao;ZHANG Li-yi;FEI Teng(School of Economics, Tianjin University of Commerce, Tianjin 300134, China;School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China)
出处
《数学的实践与认识》
北大核心
2017年第21期98-107,共10页
Mathematics in Practice and Theory
基金
国家自然科学基金(61401307)
关键词
冷链低碳物流
配送路径优化
基本蚁群算法
细菌觅食—蚁群算法
复制操作
趋向操作
cold chain low carbon logistics
distribution routing optimization
ant colonyoptimization
bacteria foraging ant colony optimization algorithm
reproduction operation
chemotaxis operation
