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  • 标题:Analysing the Performance of G.A. by Changing Replacement Strategies
  • 本地全文:下载
  • 作者:Ravi Bhushan ; Sumati Jaggi
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:Genetic algorithm is the evolutionary technique used for optimizing the result and searching the best match. Genetic algorithms are powerful & widely applicable stochastic search and the optimization methods based on the concepts of natural selection &natural evaluation. Researcher has done a lot of work in replacement phase of Genetic algorithm. In this paper researcher has compare the performance of the two types of replacement strategies, researcher has observed the performance of generational replacement and ¦Ì+¦Ë replacement
  • 关键词:Chromosome; Genetic algorithm; Mating pool; Replacement; Selection
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