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  • 标题:Performance Analysis of Clustering Based on Fuzzy System
  • 本地全文:下载
  • 作者:K.Vijayakumari ; M. Preetha ; K.Velusamy
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:5
  • 页码:6064-6067
  • 出版社:TechScience Publications
  • 摘要:the Bee Colony Optimization algorithm is a population based swarm intelligent family, it has to solved local optima problem and overwrite the demerit of Particle swarm optimization algorithms. BCO are inspired by the principles of natural biological behaviour and circulated communal behaviour of social colonies has shown superiority in production with complex optimization problems. In this paper, Fuzzy Bee Colony Optimization (FBCO) was wishedfor that algorithm furnished incredibly shining effect match up to with other active algorithms such as Fuzzy C- Means and Fuzzy Particle Swarm Optimization
  • 关键词:Clustering; Optimization; Fuzzy C-Means; Fuzzy;Particle Swarm Optimization; Fuzzy Bee Colony;Optimization
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