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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004503
