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  • 标题:On Some Basic Concepts of Genetic Algorithms as a Meta-Heuristic Method for Solving of Optimization Problems
  • 本地全文:下载
  • 作者:Milena Bogdanović
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2011
  • 卷号:4
  • 期号:8
  • 页码:482-486
  • DOI:10.4236/jsea.2011.48055
  • 出版社:Scientific Research Publishing
  • 摘要:The genetic algorithms represent a family of algorithms using some of genetic principles being present in nature, in order to solve particular computational problems. These natural principles are: inheritance, crossover, mutation, survival of the fittest, migrations and so on. The paper describes the most important aspects of a genetic algorithm as a stochastic method for solving various classes of optimization problems. It also describes the basic genetic operator selection, crossover and mutation, serving for a new generation of individuals to achieve an optimal or a good enough solution of an optimization problem being in question.
  • 关键词:Genetic Algorithm; Individuals; Genetic Operator; Selection; Crossover; Mutation
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