摘要
为提高农产品物流配送系统的效率和效益,根据农产品物流配送特点,建立了物流配送系统数学模型,并基于改进的鲨鱼优化算法对配送路径进行优化.为避免传统鲨鱼优化算法易陷入局部最优的缺陷,提出一种基于正弦运动机制和高斯变异策略的改进鲨鱼优化算法.试验结果表明,改进算法能较好地解决农产品物流配送车辆路径的优化问题,有效降低物流配送的成本.
In order to improve the efficiency and efficiency of agricultural products logistics distribution system,according to the characteristics of agricultural products logistics distribution,the mathematical model of logistics distribution system is established,and the distribution path is optimized based on the improved shark optimization algorithm.In order to avoid the defect that the traditional shark optimization algorithm is easy to fall into local optimization,an improved shark optimization algorithm based on sinusoidal motion mechanism and Gauss mutation strategy is proposed.The experimental results show that the improved algorithm can solve the optimization problem of the vehicle path of agricultural products logistics distribution better,and effectively reduce the cost of logistics distribution.
作者
尚猛
曹峻玮
SHANG Meng;CHAO Junwei(School of flight,Anyang institute of technology,Anyang 455000,China;School of Business,Yeungnam University,Gyeongsan 385141,Republic of Korea)
出处
《扬州大学学报（自然科学版）》
CAS
北大核心
2019年第4期1-5,共5页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学青年基金资助项目(61503002)
国家留学基金资助项目(201708410230)
安阳工学院博士科研启动基金资助项目(BSJ2017008)
关键词
农产品物流配送
鲨鱼优化算法
正弦运动机制
高斯变异
最短路径
agricultural logistics distribution
shark smell optimization(SSO)
sinusoidal movement mechanism
Gauss variation
shortest path
