A scalable cellular implementation of parallel genetic programming

A new parallel implementation of genetic programming (GP) based on the cellular model is presented and compared with both canonical GP and the island model approach. The method adopts a load-balancing policy that avoids the unequal utilization of the processors. Experimental results on benchmark pro...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 7; H. 1; S. 37 - 53
Hauptverfasser:	Folino, G., Pizzuti, C., Spezzano, G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2003 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Concurrent computing Degradation Distributed computing Evolutionary computation Exact sciences and technology Genetic algorithms Genetic programming High performance computing Parallel processing Performance analysis Scalability Software genetic programming (GP) Parallel programming Scalability Genetic algorithm Parallel processing load balance Performance analysis Parallel computer Load balancing Cellular genetic programming model
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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