基于免疫遗传算法的物流业路径规划  

Path Programming for Logistics Industry Based on Immune Genetic Algorithm

作　　者：马传志[1] 

机构地区：[1]佳木斯大学信息电子技术学院,黑龙江佳木斯154002

出　　处：《物流技术》2013年第5期258-260,共3页Logistics Technology

基　　金：黑龙江省教育厅科学技术项目"多约束优化调度问题的遗传算法改进研究"(12521545)

摘　　要：为了克服遗传算法的缺陷,将生物学中的免疫机制与标准遗传算法结合,提出一种基于免疫遗传算法的物流业路径规划方法。仿真实验结果显示:该方法能够有效求解大规模的路径优化问题,相比遗传算法,免疫遗传算法具有更快的收敛速度。In this paper, in order to overcome the shortcomings of the traditional genetic algorithm, we combined the biological immunity mechanism with the standard genetic algorithm, proposed a method for the path programming of the logistics industry based on the immune genetic algorithm and through a simulation experiment, found that the method could effectively solve large-scale path optimization problems and compared to the traditional genetic algorithm, boosted higher speed of convergence.

关 键 词：物流业 路径规划 遗传算法 免疫算法 免疫遗传算法 

分 类 号：F224[经济管理—国民经济] F252.1