DocumentCode
1636508
Title
Studying the influence of synchronous and asynchronous parallel GP on programs length evolution
Author
Galeano, G. ; Femdndez, F. ; Tomassini, M. ; Vanneschi, L.
Author_Institution
Comput. Sci. Dept., Univ. of Extremadura, Merida, Spain
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1727
Lastpage
1732
Abstract
In this paper we present a study of parallel and distributed genetic programming models and their relationships with the bloat phenomenon. The experiments that we have performed have also allowed us to find an interesting link between the number of processes, subpopulations and the model we should use when applying parallelism to GP. We study the synchronous and asynchronous version of the island-model in GP domain
Keywords
genetic algorithms; parallel programming; asynchronous parallel genetic programming; bloat phenomenon; distributed genetic programming models; programs length evolution; subpopulations; synchronous parallel genetic programming; Computer science; Concurrent computing; Evolutionary computation; Genetic programming; Parallel processing; Performance analysis; Proposals; Resource management; Uninterruptible power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004503
Filename
1004503
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