通信与信息技术Issue(5)：1-6,6.
基于经济约束蝙蝠算法的冷链物流路径优化研究
Research on cold chain logistics path optimization based on economic constraint bat algorithm
摘要
Abstract
In the route optimization problem of cold chain logistics,the primary challenges lie in the dual requirements of multi-ob-jective conflicts and complex physical constraints.Traditional models,due to their inadequate consideration of the dynamic correlation be-tween temperature and cargo loss as well as the nonlinear characteristics of energy consumption,exhibit significant deviations in econom-ic evaluation.This study proposes a multi-objective optimization model integrated with thermodynamic mechanisms and an enhanced bat algorithm.It establishes a temperature-and time-sensitive dynamic cargo loss model to precisely quantify the synergistic effects between temperature control deviations and transportation delays,develops a nonlinear refrigeration energy consumption function to reveal the in-fluence law of temperature differences on energy consumption,and integrates transportation costs,cargo loss costs,energy consumption,and time window penalties to set comprehensive optimization objectives.Experimental results demonstrate that the improved algorithm achieves a 20%～50%performance improvement compared with mainstream algorithms in the 50-node scenario.The research outcomes provide an end-to-end solution for cold chain logistics spanning from theoretical modeling to intelligent decision-making,and these re-sults hold substantial engineering application value for cost reduction,efficiency improvement,and service quality upgrading in the indus-try.关键词
蝙蝠算法/经济约束/冷链物流/路径优化/智慧物流Key words
Bat algorithm/Economic constraints/Cold chain logistics/Route optimization/Smart logistics分类
信息技术与安全科学引用本文复制引用
景锋,卞太洋,张颖娇,张宏俊..基于经济约束蝙蝠算法的冷链物流路径优化研究[J].通信与信息技术,2026,(5):1-6,6.基金项目
国家自然科学基金项目(项目编号:62272239)江苏省农业科技自主创新资金项目(项目编号:CX(22)1007)江苏省研究生创新训练项目(项目编号:SJCX24_0346) （项目编号:62272239）
