移动IP中一种免疫遗传算法的路由优化  

Route Optimization in Mobile IP Based on Immune GA

作　　者：吴伯桥[1] 陈焕文[1] 刘雪飞[2] 郭登科[1] 

机构地区：[1]湖南信息职业技术学院计算机系,长沙410200 [2]北京信息科技大学计算机学院网络工程系,北京100101

出　　处：《计算机测量与控制》2013年第2期490-492,495,共4页Computer Measurement &Control

基　　金：国家自然科学基金项目(60075019)

摘　　要：在移动IP网络中,由于三角路由算法效率不高,导致移动网络性能难以达到最优;文中将遗传算法和免疫算法结合构成免疫遗传算法应用于移动IP路由选择,该方法保留了遗传算法随机全局并行搜索的特点,避免了未成熟收敛,能够确有效提高移动IP的路由选择结果;运行结果表明免疫遗传算法比单一的遗传算法在性能上有较大的提高。This paper in view of mobile IP network in which the efficiency of the existing triangular routing algorithm is not effective and its networks performance can＇ t achieve optimal. Route optimization in mobile IP based on immune GA is proposed. In which the method re rains random global parallel search features of the genetic algorithm, which can avoid premature convergence and effectively improve mobile IP routing results. The operation results show that the improved immune genetic algorithm is better than single genetic algorithm perform ance.

关 键 词：移动IP 免疫遗传算法 三角路由 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]