(Enter summary)
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
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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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