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  • 标题:Artificial Neural Networks for Evolutionary Architectures and Connection weights:A Survey on History and Current state
  • 本地全文:下载
  • 作者:G.V.R. Sagar ; Dr. S. Venkata Chalam
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2011
  • 卷号:2
  • 期号:3(Version 2)
  • 出版社:Ayushmaan Technologies
  • 摘要:Evolutionary computation has started a significant attention during the last two decades. Learning and evolution are two fundamental forms of adaption connection weights and architecture in ANN’s. This article surveys the history as well as the current state of this rapidly growing field. We describe the genetic algorithms(GA’s), Evolution Programming(EP), Evolution Strategies(ES), and Evolutionary ensembles by analysis and comparison of their important constituents like representation, various operators, reproduction and selection mechanism.
  • 关键词:Evolutionary strategies; evolutionary computation; evolutionary;programming; genetic algorithms; genetic programming;evolutionary ensembles.
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