An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks  

作　　者：SUN Li-juan,LI Chao(Department of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R. China) 

出　　处：《The Journal of China Universities of Posts and Telecommunications》2003年第4期11-16,共6页中国邮电高校学报（英文版）

摘　　要：Obtaining the average delay and selecting a route in a communication networkare multi-constrained nonlinear optimization problems . In this paper, based on the immune geneticalgorithm, a new fuzzy self-adaptive mutation operator and a new upside-down code operator areproposed. This improved IGA is further successfully applied to solve optimal problems of computercommunication nets.Obtaining the average delay and selecting a route in a communication networkare multi-constrained nonlinear optimization problems . In this paper, based on the immune geneticalgorithm, a new fuzzy self-adaptive mutation operator and a new upside-down code operator areproposed. This improved IGA is further successfully applied to solve optimal problems of computercommunication nets.

关 键 词：immune genetic algorithm fuzzy self-adaptive mutation upside-down code optimal route selection communication network 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]