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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2776

Title: Reducing population size while maintaining diversity
Authors: MONSIEURS, Patrick
FLERACKERS, Eddy
Issue Date: 2003
Publisher: SPRINGER-VERLAG BERLIN
Citation: GENETIC PROGRAMMING, PROCEEDINGS. p. 142-152
Series/Report: LECTURE NOTES IN COMPUTER SCIENCE, 2610
Abstract: This paper presents a technique to drastically reduce the size of a population, while still maintaining sufficient diversity for evolution. An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence speed towards an optimal solution.
Notes: Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium.Monsieurs, P, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2776
DOI: 10.1007/3-540-36599-0_13
ISI #: 000184814100013
ISBN: 978-3-540-00971-9
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Validation: ecoom, 2004
Appears in Collections: Research publications

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