THE ROLE OF MUTATION AND POPULATION SIZE IN GENETIC ALGORITHMS APPLIED TO PHYSICS PROBLEMS
E. Belmont-Moreno
Additional contact information
E. Belmont-Moreno: Instituto de Física, UNAM, Apartado Postal 20-364, D.F. 01000, México
International Journal of Modern Physics C (IJMPC), 2001, vol. 12, issue 09, 1345-1355
Abstract:
A standard Genetic Algorithm is applied to a set of test problems, three of them taken from physics and the rest analytical expressions explicitly constructed to test search procedures. The relation between mutation rate and population size in the search for optimum performance is obtained showing similar behavior in these problems.
Keywords: Genetic algorithms; mutation; population size (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183101002693
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:12:y:2001:i:09:n:s0129183101002693
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0129183101002693
Access Statistics for this article
International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann
More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().