节点文献
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
【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.
【Abstract】 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.
【Key words】 Logistics distribution center; Self-adaptive mutation; Similarity vector distance; Artificial immune algorithm;
- 【文献出处】 内蒙古民族大学学报(自然科学版) ,Journal of Inner Mongolia University for Nationalities(Natural Sciences) , 编辑部邮箱 ,2017年05期
- 【分类号】F252;TP18
- 【被引频次】5
- 【下载频次】377