基于改进鲸鱼算法的黔北地区农产品配送问题研究  

AGRICULTRUAL PRODUCTS DISTRIBUTION IN NORTHERN GUIZHOU BASED ON IMPROVED WHALE OPTIMIZATION ALGORITHM

作　　者：史文涛[1] 周林荣[1] Shi Wentao;Zhou Linrong(School of Management,Zunyi Normal University,Zunyi 563006,Guizhou,China)

机构地区：[1]遵义师范学院管理学院,贵州遵义563006

出　　处：《计算机应用与软件》2020年第10期91-98,124,共9页Computer Applications and Software

基　　金：贵州省科技厅联合基金项目(黔科合LH字[2017]7078号,黔科合LH字[2016]7020号)。

摘　　要：降低农产品配送成本是黔北地区物流企业急需解决的重大问题。对此,在鲸鱼算法(WOA)基础上,改进鲸鱼个体编码和解码方式,利用混沌方式生成初始种群,引入反向学习、信息反馈、非线性收敛因子和自适应权重等机制,提出一种求解配送问题的改进鲸鱼算法(IWOA)。采用黔北地区农产品配送实例和国际标准算例进行仿真实验。实验结果表明,IWOA综合求解性能优于WOA、遗传算法(GA)和粒子群算法(PSO),有助于降低企业配送成本。For the logistics enterprises in northern Guizhou province,optimizing the distribution cost is the major urgently problem.In order to solve it,an improved whale optimization algorithm(IWOA)is proposed based on the whale optimization algorithm(WOA).The individual encoding and decoding methods of WOA were improved;the initial population was generated by chaos,and the reverse learning,information feedback,nonlinear convergence factor and adaptive weight were introduced;the simulation experiments were carried out with the agricultural products distribution in northern Guizhou province and the international standard examples.The results show that IWOA is superior to WOA,GA and PSO,which can effectively reduce the enterprise distribution cost.

关 键 词：鲸鱼算法 农产品配送 黔北地区 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]