Immune Algorithm for Solving the Optimization problems of Computer Communication Networks
GAOJie, WUXin-yu · 中国邮电高校学报：英文版 · 2000
The basic problem in optimizing communication networks is to assign aproper circuit for each origindestination pair in networks so as to minimize the average network delay,and the network optimal route selection model is a multi-constrained 0-1 nonlinear programming problem,In this paper,a new stochastic optimization algorthm,Immune Algorithm,is applied to solve the optimization problem in communication networks,And the backbone network vBNS is chosen to illustrate the technique of evaluating delay in a virtual netowrk.At last,IA is compared with the optimization method in communication networks based on Genetic Algorithm,and the result shows that IA is better than GA in global optimum finding.