Structured population genetic algorithms: a literature survey

@article{Lim2012StructuredPG,
  title={Structured population genetic algorithms: a literature survey},
  author={Ting Yee Lim},
  journal={Artificial Intelligence Review},
  year={2012},
  volume={41},
  pages={385-399}
}
The Genetic Algorithm (GA) has been one of the most studied topics in evolutionary algorithm literature. Mimicking natural processes of inheritance, mutation, natural selection and genetic operators, GAs have been successful in solving various optimization problems. However, standard GA is often criticized as being too biased in candidate solutions due to genetic drift in search. As a result, GAs sometimes converge on premature solutions. In this paper, we survey the major advances in GA… CONTINUE READING
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