Artificial Immune Algorithm Based on Niche Technology and Cluster Analysis
基于小生境技术和聚类分析的人工免疫算法

Due to premature convergence and low speed of latter convergence in conventional artificial immune algo- rithm,the new method is introduced in the paper which is improved artificial immune algorithm based on niche tech- nique and cluster analysis.Firstly niche technique with revolutionary recording is taken to initial population."exclusion mechanism"can maintain population diversity to avoid premature,and labeling evolution direction dynamically can im- prove convergence speed.Then cluster analysis is applied to obtain cluster areas nearby extremums.Different operators are taken in different areas respectively.Similar-taxis operator is employed to realize optimization within cluster areas, while dissimilation operator between them.Parallel searching in coarser and finer layer can ensure the speed and preci- sion of global optimization.Simulation shows that the improved algorithm has higher convergence speed,better capa- bility of global searching and better optimization precision.