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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.
Cold chain logistics green development has become the country’s thirteen five development hot spots in the analysis of various aspects of the cold chain logistics and distribution costs based on the vehicle capacity and time window as a constraint to build a comprehensive total cost of minimization of cold-chain low-carbon logistics Delivery path optimization model.Copy operations and trend operations in bacterial foraging algorithm are introduced into the basic ant colony algorithm to improve the convergence efficiency and global search ability of the algorithm.The bacterial foraging-ant colony algorithm is proposed to solve the cold chain low Carbon logistics distribution path optimization model.An example simulation shows that the bacterial foraging-ant colony algorithm can find a lower total cost of integration with higher efficiency in solving the optimization model of cold-chain low-carbon logistics distribution path, and verifies the improvement The rationality and effectiveness of the algorithm.