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基于改进鲸鱼优化算法的物流配送中心选址策略
引用本文:尚猛,康建英,曹峻玮,万志鹏.基于改进鲸鱼优化算法的物流配送中心选址策略[J].计算机应用与软件,2019,36(6):254-259.
作者姓名:尚猛  康建英  曹峻玮  万志鹏
作者单位:安阳工学院飞行学院 河南安阳455000;岭南大学经营学院 韩国庆山385141;河北经贸大学经济与管理学院 河北石家庄050091;岭南大学经营学院 韩国庆山385141;安阳工学院飞行学院 河南安阳455000
基金项目:国家自然科学基金;教育部国家留学基金;河南省经团联调研课题;安阳工学院博士科研启动基金
摘    要:针对传统启发算法在解决物流配送中心选址问题上易陷入局部最优,导致降低物流系统效率降低的问题,提出一种改进的鲸鱼优化算法IWOA(Improved Whale Optimization Algorithm)。通过综合变异策略和随机正弦惯性权重对传统算法进行改进,提高收敛精度和全局搜索能力。实验仿真结果表明,改进的鲸鱼算法较其他启发算法具有更高的计算性能,可以合理计算出配送中心地址,很大程度提高了物流配送的运送效率。

关 键 词:物流配送中心选址  鲸鱼优化算法  综合变异  随机正弦惯性权重

LOCATION STRATEGY OF LOGISTICS DISTRIBUTION CENTER BASED ON IMPROVED WHALE OPTIMIZATION ALGORITHM
Shang Meng,Kang Jianying,Cao Junwei,Wan Zhipeng.LOCATION STRATEGY OF LOGISTICS DISTRIBUTION CENTER BASED ON IMPROVED WHALE OPTIMIZATION ALGORITHM[J].Computer Applications and Software,2019,36(6):254-259.
Authors:Shang Meng  Kang Jianying  Cao Junwei  Wan Zhipeng
Affiliation:(School of Flight, Anyang Institute of Technology, Anyang 455000,Henan, China;College of Economics and Management, Hebei University of Economics and Business, Shijiazhuang 050091,Hebei, China;School of Business, Yeungnam Uni University, Gyeongsan 385141, Korea)
Abstract:Traditional heuristic algorithm is easy to fall into local optimum in solving the location problem of logistics distribution center,which leads to the reduction of the efficiency of logistics system.To solve this problem,we proposed an improved whale optimization algorithm.Combining comprehensive variation strategy and random sinusoidal inertia weight,it improved the convergence accuracy and global search ability.The simulation results show that the improved whale algorithm has better computational performance than other heuristic algorithms,and can reasonably calculate the distribution center address,which greatly improves the efficiency of logistics distribution.
Keywords:Location of logistics distribution center  Whale optimization algorithm  Comprehensive variation  Random sinusoidal inertia weight
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