摘要
针对物流配送车辆路径难以优化以至于影响物流配送系统效率和效益的问题,提出一种基于鲸鱼优化算法的车辆路径优化方法.首先,建立物流配送系统数学模型.其次,针对传统鲸鱼优化算法易陷入局部最优的问题,采用随机惯性权重和非均匀变异策略对算法进行改进,并用过测试函数对比试验验证了所提方法的有效性.最后通过改进的鲸鱼优化算法进行物流路径优化实验,实验结果验证了所提出的改进鲸鱼优化算法能够高效的优化物流配送车辆路配送路径,降低了物流配送成本.
Aiming at the problem that the vehicle routing of logistics distribution is difficult to optimize, which affects the efficiency and efficiency of logistics distribution system, a vehicle routing optimization method based on whale optimization algorithm is proposed. First, a mathematical model of logistics distribution system is established. Secondly, aiming at the problem that traditional whale optimization algorithm is easy to fall into local optimum, random inertia weight and non-uniform mutation strategy are used to improve the algorithm, and the validity of the proposed method is verified by the comparative test of test functions. Finally, through the improved whale optimization algorithm to optimize the logistics path experiment, the experimental results show that the proposed improved whale optimization algorithm can effectively optimize the logistics distribution vehicle route distribution path and reduce the logistics distribution cost.
作者
尚猛
万志鹏
曹峻玮
康建英
SHANG Meng;WAN Zhi-peng;CHAO Jun-wei;KANG Jian-ying(Anyang Institute of Technology School of Flight, Anyang 455000, China;Yeungnam University School of Business, Gyeongsangbuk-do 385141, Republic of Korea;College of Economics and Management, Hebei University of Economics and Business, Shijiazhuang 050091, China)
出处
《数学的实践与认识》
北大核心
2019年第15期210-218,共9页
Mathematics in Practice and Theory
基金
国家自然科学青年基金(61503002)
国家留学基金(201708410230)
河南省社科联、省经团联调研课题(SKL20183494)
安阳工学院博士科研启动基金项目(BSJ2017008)
关键词
物流配送路径优化
鲸鱼优化算法
随机惯性权重
非均匀变异
logistics distribution routing optimization
whale optimization algorithm
stochastic inertia weight
heterogeneous variation
