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.