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《Journal of Anhui Agricultural Sciences》 2010-36
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A Combination of Artificial Fish Swarm Algorithm and Genetic Algorithm For Solving Clustering Analysis Problem

CHEN Xiang-sheng et al (Electronic information Department of Anhui Finance & Trade Vocational College,Hefei,Anhui 230061)  
Artificial fish swarm algorithm(AFSA) is a nove1 bio-inspired optimizing method.The Genetic Algorithm is a random search and optimized solution that mimics the process of natural evolution and genetics.Clustering has been applied to many areas,including data mining,statistics,and machine learning and can be regarded as a global optimization problem.This paper presents an algorithms combination of the artificial fish swarm algorithm and the genetic algorithm by means of combining the selection and mutation from the genetic algorithm with the artificial fish swarm algorithm.The algorithms combination is applied to solve clustering analysis problem,and moreover it is as simple as AFSA for implementing.The simulation results show that the algorithm is more efficient.
【Fund】: 安徽省教育厅自然科学基金项目(KJ2008B021)
【CateGory Index】: TP18
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