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  • 标题:Use of Genetic Algorithms for Finding Roots of Algebraic Equations
  • 本地全文:下载
  • 作者:Harsh Bhasin ; Surbhi Bhatia
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:4
  • 页码:1693-1696
  • 出版社:TechScience Publications
  • 摘要:An idea of the values between which the roots of the algebraic equation lie is needed in both bisection method and other numerical methods for finding out the roots. Therefore, a method to suggest them is required. Finding them is a search process, so Genetic Algorithms (GA) can be used for the above task as GA’s are theoretically and empirically proven to provide robust search in complex spaces. (1.) After finding out these values, the population obtained in the initial step needs to be converted into population having equivalent values lying between the numbers .This increases the plausibility of the root of the equation lying near to; if not equal; to the values so obtained. Crossover and mutation increases the chances of finding out the roots .The work explores finding out the roots of an algebraic equation with the help of GA.by the Agent.
  • 关键词:Root Finding; Genetic Algorithms; Evolutionary;Algorithms; Theory of natural selection.
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