低碳视角下带软时间窗的同时取送货车辆路径问题研究OA
Vehicle routing problem with simultaneous pickup-delivery and soft time windows from low-carbon perspective
为有效地协调正逆向物流,响应国家大力发展低碳经济的号召,以带软时间窗的同时取送货车辆路径问题(VRPSPDSTW)为研究对象,综合考虑车辆速度、装载质量等因素对碳排放的影响,构建了以车辆固定成本、运输成本、碳排放成本及时间窗惩罚成本之和为目标函数的数学模型,并设计了一种改进蚁群算法(IACO)对模型进行求解,最后通过算例计算验证了算法的有效性与模型的合理性.计算结果表明:在某些算例中,使用IACO求解得到的配送方案的行驶距离较对比算法有所缩短,其中最高节省了10.73%的路程;在RCdp5001改编算例中,将同时取送货模式与单取单送模式进行比较,前者配送方案的总成本降幅达50.20%;对比考虑和未考虑碳排放因素的VRPSP-DSTW模型得出的配送方案,前者的行驶距离缩短了3.16%,总配送成本降低了1.53%,碳排放量减少了4.56%.
To effectively coordinate forward and reverse logistics and respond to the national call for developing low-carbon economy,the vehicle routing problem with simultaneous pickup-delivery and soft time windows(VRPSPDSTW)was investigated.Considering the effects of vehicle speed,load and other factors on carbon emission,the mathematical model was constructed with the sum of vehicle fixed cost,transport cost,carbon emission cost and time window penalty cost as objective function,and the improved ant colony algorithm(IACO)was proposed.The algorithm and the model were verified through the test cases.The calculating results demonstrate that in some cases,compared to the other algorithms,the delivery schemes obtained by IACO can achieve shorter travel distances with the maximum reduction of 10.73%.In the modified RCdp5001 case,when the simultaneous pickup-delivery mode is compared with the separate pickup-delivery mode,the former achieves the total delivery cost reduction of 50.20%.Compared to the model without considering carbon emission factors,the delivery plan generated by the VRPSPDSTW model incorporating carbon emission factors achieves 3.16%reduction in travel distance,1.53%decrease in total delivery cost and 4.56%reduction in carbon emissions.
何美玲;杨梅;武晓晖
江苏大学汽车与交通工程学院,江苏镇江 212013江苏大学汽车与交通工程学院,江苏镇江 212013江苏大学汽车与交通工程学院,江苏镇江 212013
交通工程
车辆路径问题同时取送货软时间窗碳排放改进蚁群算法
vehicle routing problemsimultaneous pickup-deliverysoft time windowcarbon emissionimproved ant colony algorithm
《江苏大学学报(自然科学版)》 2026 (3)
283-291,9
教育部人文社会科学研究青年基金资助项目(21YJCZH180)江苏省教育厅高校哲学社会科学研究项目(2020SJA2058)江苏省研究生科研与实践创新计划项目(KYCX22_3674)
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