计算机工程与应用2024，Vol.60Issue(14)：337-347,11.DOI:10.3778/j.issn.1002-8331.2303-0130
考虑低碳的多目标冷链混合车队路径规划研究
Research on Route Planning of Multi-Objective Cold Chain Mixed Fleet Considering Low Carbon
摘要
Abstract
In order to improve the transportation efficiency of cold chain logistics and achieve the low-carbon goal of energy saving and emission reduction,this paper discusses the multi-objective low-carbon cold chain vehicle routing problem in cold-chain logistics distribution(MOLCVRPCLD).Compared with the existing literature,this paper considers a more low-carbon mixed fleet of electric vehicles and fuel vehicles,and establishes an optimization model with the goal of optimal comprehensive cost and minimum carbon emissions.Comprehensive cost includes fixed cost of vehicles,time window cost,cargo damage cost,fuel consumption cost and power consumption cost.Carbon emissions includes fuel emissions and refrigeration emissions.According to the characteristics of the model,a non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)is designed to solve the model.And genetic algorithm(GA)is used to optimize the two targets respectively to verify the effectiveness of the model and algorithm.关键词
低碳冷链/混合车队/电动车/非支配排序遗传算法(NSGA-Ⅱ)Key words
low-carbon cold chain/mixed fleet/electric vehicles/non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)分类
管理科学引用本文复制引用
丁澍,邱玉琢..考虑低碳的多目标冷链混合车队路径规划研究[J].计算机工程与应用,2024,60(14):337-347,11.基金项目
科技部国家外国专家项目(G2021014038L),国家自然科学基金(71571092) （G2021014038L）
江苏省高等学校自然科学研究重大项目(19KJA520002) （19KJA520002）
江苏省第十五批"六大人才高峰"高层次人才项目(JY-076). （JY-076）
