Optimizing Network Planning by Using Improved Genetic Algorithm

The optimization for network planning by using genetic algorithm(GA) is a non-monotonic as well as deceitful problem,so it is difficult to obtaining a global optimization result.This paper researches the optimization for network planning by using improved genetic algorithm,and analyses a large number of actual computing results in database.The analysis indicates that improved genetic algorithm can obviously improve the successful probability of obtaining global optimization result.The research also shows that the dynamic adjustment of the fitness gains the best result.At last this paper offers a suitable parameter for this type problem.