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  • 标题:Genetic Algorithm: A Tutorial Review
  • 本地全文:下载
  • 作者:Deep Malya Mukhopadhyay ; Maricel O. Balitanas ; Alisherov Farkhod A.
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2009
  • 卷号:2
  • 期号:3
  • 出版社:SERSC
  • 摘要:Generally speaking, genetic algorithms are simulations of evolution, of what kind ever. In most cases, however, genetic algorithms are nothing else than probabilistic optimization methods which are based on the principles of evolution. This tutorial covers application oriented study of genetic algorithms as in the case of Eye Location Using Genetic Algorithm; Using simulation and Genetic Algorithms to improve cluster tool performance; Mooring Pattern Optimization using Genetic Algorithms. This tutorial is designed to cover a few important applicational aspects of genetic algorithm under a single umbrella.
  • 关键词:Eye Location; genetic algorithm; fuzzy; evolutionary..
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