罗梓瑄,刘学文.基于蚁群算法的物流配送路径优化研究[J].重庆工商大学学报(自然科学版),2020,37(4):89-94
LUO Zi-xuan, LIU Xue-wen.Research on Logistics Distribution Path Optimization Based on Ant Swarm Algorithm[J].Journal of Chongqing Technology and Business University(Natural Science Edition),2020,37(4):89-94
基于蚁群算法的物流配送路径优化研究
Research on Logistics Distribution Path Optimization Based on Ant Swarm Algorithm
  
DOI:
中文关键词:  物流配送  蚁群算法  路径规划  多目标优化
英文关键词:logistics distribution  ant swarm algorithm  path planning  multi objective optimization
基金项目:
作者单位
罗梓瑄,刘学文 重庆师范大学 数学科学学院重庆 401331 
摘要点击次数: 116
全文下载次数: 68
中文摘要:
      在实际生活中,如何选择最优的物流配送路线是物流车辆调度系统中最重要的问题之一。首先,针对物流配送路径优化问题,充分考虑了车辆路径的约束条件,以成本最小化和最大限度减少碳排放量构建了一种路径规划多目标优化模型;然后利用蚁群算法对其进行了求解,该算法在问题空间的多点同时开始独立的解搜索,保证了算法具有较强的全局搜索能力,并且具有较强的鲁棒性;将该算法应用到实际问题上运用MATLAB软件进行实验仿真,计算出最优的车辆配送路径方案;仿真结果表明:该模型和算法能较好地解决相关物流配送路径问题,从而提高物流服务的质量。
英文摘要:
      In real life, how to choose the optimal logistics distribution route is one of the most important issues in vehicle dispatch system of logistics.In view of logistics distribution path optimization, firstly, the restriction conditions of vehicle path are fully considered, a multi objective optimization model of path planning is constructed with cost minimization and with minimum carbon emission, then, it is solved by using ant swarm algorithm simultaneously starting independent solution search in the multipoint of problem space, which guarantees that this algorithm has stronger global search capacity and has stronger robustness. In practice, experimental simulation is conducted by using MATLAB for this algorithm, and the optimal vehicle distribution path scheme is calculated. Simulation results show that this model and this algorithm can solve the related logistics distribution path problem so as to improve logistics service quality.
查看全文  查看/发表评论  下载PDF阅读器
关闭
重庆工商大学学报自然科学版 版权所有
地址:中国 重庆市 南岸区学府大道19号,重庆工商大学学报编辑部 邮编:400067
电话:023-62769495 传真:
您是第2097365位访客
关注微信二维码