ML Anthology

An Induction-Based Control for Genetic Algorithms (Extended Abstract)

Michèle Sebag, Marc Schoenauer, Caroline Ravise
ECML-PKDD 1995 pp. 351-355
doi:10.1007/3-540-59286-5_85 /ecmlpkdd/1995/sebag1995ecml-inductionbased/

Abstract

This paper presents an induction-based control of genetic algorithms: 1- examples of the behavior of the genetic operators (crossover and mutation) are gathered; 2- rules characterizing disruptive operators are induced from the gathered examples; 3- last, these rules are used to reject operators classified disruptive. Evolution is thereby speeded up. Experimental results on the well-known Royal Road problem and on a GA-deceptive problem are presented.

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Cite

Text

Sebag et al. "An Induction-Based Control for Genetic Algorithms (Extended Abstract)." European Conference on Machine Learning, 1995. doi:10.1007/3-540-59286-5_85

Markdown

[Sebag et al. "An Induction-Based Control for Genetic Algorithms (Extended Abstract)." European Conference on Machine Learning, 1995.](https://mlanthology.org/ecmlpkdd/1995/sebag1995ecml-inductionbased/) doi:10.1007/3-540-59286-5_85

BibTeX

@inproceedings{sebag1995ecml-inductionbased,
  title     = {{An Induction-Based Control for Genetic Algorithms (Extended Abstract)}},
  author    = {Sebag, Michèle and Schoenauer, Marc and Ravise, Caroline},
  booktitle = {European Conference on Machine Learning},
  year      = {1995},
  pages     = {351-355},
  doi       = {10.1007/3-540-59286-5_85},
  url       = {https://mlanthology.org/ecmlpkdd/1995/sebag1995ecml-inductionbased/}
}