自适应变异免疫算法在物流配送中心选址中的应用  

Application of Self-adaptive Mutation Immune Algorithm in Logistics Distribution

作　　者：平环 宋初一[1] 姜静清[2,3] PING Huan;SONG Chu-yi;JIANG Jing-qing(College of Mathematics, Inner Mongolia University for Nationalities, Tongliao 028043, China;College of Computer Science and Technology, Inner Mongolia University for Nationa｜ities, Tongliao 028043, China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China)

机构地区：[1]内蒙古民族大学数学学院,内蒙古通辽028043 [2]内蒙古民族大学计算机科学与技术学院,内蒙古通辽028043 [3]吉林大学符号计算与知识工程教育部重点实验室,吉林长春130012

出　　处：《内蒙古民族大学学报（自然科学版）》2017年第5期406-411,共6页Journal of Inner Mongolia Minzu University：Natural Sciences

基　　金：国家自然科学基金资助项目(61672301;61662057);内蒙古自治区留学人员科技活动项目;符号计算与知识工程教育部重点实验室2016年度开放基金项目

摘　　要：随着经济的发展,物流业成为新兴产业,物流配送中心选址变得尤为重要.本文采用改进的免疫算法对一个中等规模进行配送中心选址.主要从两方面对免疫算法进行改进,一方面抗体与抗原的亲和度采用有阈值限制的矢量距进行计算,另一方面对变异操作进行自适应化.实验表明,改进后的免疫算法不仅提高了精确度,而且提升了收敛速度.With the development of an economy,the logistics industry becomes an emerging industry,and the location of logistics distribution centers is particularly important.We usedan improved immune algorithm for a medium-sized distribution center location.The immune algorithm was improved from two aspects.On one hand,we adopted vector distance that was limited by two thresholds to calculate the affinity of the antibody and antigen. On the other hand,we used the self-adaptive mutation. Experimental results show that the improved immune algorithm not only improved accuracy,but also the convergence speed.

关 键 词：物流配送中心 自适应变异 矢量距 人工免疫算法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]