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Searching Under Multi-Evolutionary Pressures (2003)  (Make Corrections)  (1 citation)
Hussein A. Abbass, Kalyanmoy Deb



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Abstract: A number of authors made the claim that a multiobjective approach preserves genetic diversity better than a single objective approach. (Update)

Cited by:   More
Pareto Evolutionary Neural Networks - Jonathan Fieldsend Member   (Correct)

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BibTeX entry:   (Update)

H. Abbass and K. Deb, "Searching under multi-evolutionary pressures," in Proceedings of the 2003. http://citeseer.ist.psu.edu/abbass03searching.html   More

@misc{ abbass03searching,
  author = "H. Abbass and K. Deb",
  title = "Searching under multi-evolutionary pressures",
  text = "H. Abbass and K. Deb, Searching under multi-evolutionary pressures, in
    Proceedings of the 2003.",
  year = "2003",
  url = "citeseer.ist.psu.edu/abbass03searching.html" }
Citations (may not include all citations):
177   An analysis of the behavior of a class of genetic adaptive s.. (context) - DeJong - 1975
77   The science of breeding and its application to the breeder g.. - Muhlenbein, Schlierkamp-Voosen - 1994
62   Serial and parallel genetic algorithms as function optimizat.. - Gordon, Whitley - 1993
33   Predictive models for the breeder genetic algorithms: contin.. (context) - Muhlenbein, Schlierkamp-Voosen - 1993
22   Reducing bloat and promoting diversity using multi-objective.. - De Jong, Watson et al. - 2001
9   Reducing local optima in single-objective problems by multi-.. - Knowles, Corne - 2001  ACM   DBLP
8   Multiobjective genetic programming: Reducing bloat using SPE.. - Bleuler, Brack et al. - 2001
7   Information characteristics and the structure of landscapes (context) - Vassilev, Fogarty et al. - 2000  DBLP
5   An evolutionary artificial neural network approach for breas.. - Abbass - 2002
4   A memetic pareto evolutionary approach to artificial neural .. - Abbass - 2001  ACM   DBLP
1   Self-adaptive pareto di#erential evolution - Abbass - 2002

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