RBF equalizer based on adaptive niche hierarchy genetic algorithm
基于自适应小生境递阶遗传算法的RBF均衡器

It is the fact that only one optimum individual can be determined by the Hierarchy Genetic Algorithm (HGA). This paper proposed a new improved hierarchy Genetic Algorithm (GA) based on the niche, in which the range of the niche could be determined by the information of the evolution. The best structure of the Radial Basis Function (RBF) neural network equalizer could be selected from several optimal solutions with the criterion of the lowest bit error rate and the best clustering degree of the hidden centers. The simulation results demonstrate that the validity and the stability of the new algorithm.