基于改进蚁群算法的物流车辆调度优化问题的研究  

Research on logistics vehicle scheduling optimization based on improved ant colony algorithm

作　　者：殷玲玲[1] 贾兆红[2] YIN Ling-ling;JIA Zhao-hong(Lu An Vocational College,Luan 237158,China;Anhui University,Hefei 230000,China)

机构地区：[1]六安职业技术学院,安徽六安237158 [2]安徽大学,安徽合肥230000

出　　处：《青海师范大学学报（自然科学版）》2020年第2期28-34,共7页Journal of Qinghai Normal University(Natural Science Edition)

基　　金：安徽省高校优秀青年人才支持计划项目(gxyq2019205)

摘　　要：蚁群算法是人工智能领域的一种模拟进化算法,在求解调度问题方面具有一定的优势,是一种很有发展前景的智能优化算法.文章首先分析了蚁群算法的基本原理,接着提出了改进型蚁群算法,并阐述了其在物流车辆调度中的应用,进行了仿真实验,验证了改进型蚁群算法的可行性.Ant colony algorithm is a kind of simulated evolutionary algorithm in the field of artificial intelligence,which has certain advantages in solving scheduling problems and is an intelligent optimization algorithm with great development prospects.This paper first analyzes the basic principle of ant colony algorithm,then proposes an improved ant colony algorithm,and describes its application in logistics vehicle scheduling,and finally carries out simulation experiments to verify the feasibility of the improved ant colony algorithm.

关 键 词：蚁群算法 人工智能 车辆调度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F252[自动化与计算机技术—控制科学与工程]