http://www.cnr.it/ontology/cnr/individuo/prodotto/ID14447

P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems (Contributo in atti di convegno)

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P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems (Contributo in atti di convegno) (literal)

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Folino Gianluigi, Spezzano Giandomenico (2006)
P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems
in enetic Programming, 9th European Conference, EuroGP 2006,
(literal)

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P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems (literal)

Abstract

Solving complex real-world problems using evolutionary com- putation is a CPU time-consuming task that requires a large amount of computational resources. Peer-to-Peer (P2P) computing has recently re- vealed as a powerful way to harness these resources and efficiently deal with such problems. In this paper, we present a P2P implementation of Genetic Programming based on the JXTA technology. To run genetic programs we use a distributed environment based on a hybrid multi- island model that combines the island model with the cellular model. Each island adopts a cellular genetic programming model and the migration occurs among neighboring peers. The implementation is based on a virtual ring topology. Three different termination criteria (effort, time and max-gen) have been implemented. Experiments on some popular benchmarks show that the approach presents a accuracy at least comparable with classical distributed models, retaining the obvious ad- vantages in terms of decentralization, fault tolerance and scalability of P2P systems. (literal)

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