基于改进沙猫群优化算法的绿色多式联运路径优化OACSTPCD
Research on Multimodal Transportation of Green Vehicle Logistics Based on Mixed Sand Cat Swarm Optimization Algorithm
为了解决整车多式联运物流过程中涉及的因素种类多,各方面成本难以平衡,且对节能减排要求较大的问题,综合考量运输成本、中转成本、风险成本、燃料消耗成本、碳排放成本和服务时效成本六个部分,并且加入对货运新能源车能耗排放的考虑,构建了一种绿色整车物流多式联运模型,该模型能够更好地反映出实际整车多式联运物流过程中的成本构成.为了更好地求出合理的配送方案,提出了一种混合沙猫群优化算法,在沙猫群优化算法的基础上,通过随机分布和Kmeans聚类算法优化初始沙猫的…查看全部>>
To solve the problem that there are various factors that affect multi-modal transport logistics and the difficulty in achieving balance between various costs,there are six elements carefully considered:transportation cost,transfer cost,risk cost,fuel consumption cost,carbon emission cost and service timeliness cost.In addition,the energy consumption and emissions of new energy lorries are also considered.Then,a green vehicle logistics multimodal transport mo…查看全部>>
杨骐鸣;毕云蕊;宫婧;孙哲
南京邮电大学 现代邮政学院&现代邮政研究院,江苏 南京 210003南京工程学院,江苏 南京 211167南京邮电大学 现代邮政学院&现代邮政研究院,江苏 南京 210003南京邮电大学 现代邮政学院&现代邮政研究院,江苏 南京 210003
计算机与自动化
绿色物流多式联运碳排放最优路径规划沙猫群优化算法
green logisticsmultimodal transportationcarbon emissionoptimal path planningsand cat swarm optimization algorithm
《计算机技术与发展》 2024 (10)
164-170,7
国家自然科学基金青年项目(62303214)
评论