摘要
为了减少碳排放,提高村镇生活环境质量,实现乡村振兴,对村镇垃圾收运路线进行了优化。基于天气、运输距离、成本等因素,建立容量约束下的村镇垃圾收运路线优化模型。然后,以江苏省新沂市合沟镇为例,利用Matlab软件实现禁忌搜索算法和模拟退火算法,求解出最优路径。最后,通过对比平均配送距离和平均计算时间,发现模拟退火算法的计算结果优于禁忌搜索算法的计算结果。
In order to reduce carbon emissions, improve the living environment quality of villages and towns, and realize rural revitalization, the waste collection and transport routes in towns are optimized. Based on the weather, transportation distance, cost and other factors, an optimization model of rural waste collection and transport route with capacity constraints is established. Then,taking Hegou Town, Xinyi City, Jiangsu Province as an example, the tabu search algorithm and simulated annealing algorithm are realized by Matlab software, and the optimal path result is calculated. Finally, by comparing the average distance and average calculation time, the calculation result of simulated annealing algorithm is better than that of tabu search algorithm.
作者
李洋洁
毛霖
周秋菊
邹可莹
高华
林思聪
LI Yangjie;MAO Lin;ZHOU Qiuju;ZOU Keying;GAO Hua;LIN Sicong(Nantong University,Nantong 226019,China)
出处
《物流科技》
2023年第3期98-101,共4页
Logistics Sci-Tech
基金
国家级大学生创新创业训练计划项目(202110304024)
江苏省大学生创新训练计划项目(202210304153Y)
南通大学大学生创新训练计划项目(2022201)
南通市软科学研究课题项目(2019N02)
2020年江苏省高校优秀中青年教师和校长境外研修计划项目。
关键词
容量约束
禁忌搜索算法
模拟退火算法
路线优化方法
capacity constraints
tabu search algorithm
simulated annealing algorithm
route optimization method