A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Created by W.Langdon from
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- @Article{journals/jsw/FolinoFS06,
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author = "Gianluigi Folino and Agostino Forestiero and
Giandomenico Spezzano",
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title = "A Jxta Based Asynchronous Peer-to-Peer Implementation
of Genetic Programming",
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journal = "Journal of Software",
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year = "2006",
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volume = "1",
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number = "2",
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pages = "12--23",
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month = aug,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1796-217X",
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URL = "http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.pdf",
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URL = "http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.html",
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size = "12 pages",
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abstract = "Solving complex real-world problems using evolutionary
computation is a CPU time-consuming task that requires
a large amount of computational resources. Peer-to-Peer
(P2P) computing has recently revealed as a powerful way
to harness these resources and efficiently deal with
such problems. In this paper, we present P-CAGE: a P2P
environment for Genetic Programming based on the JXTA
protocols. P-CAGE is based on a hybrid multi-island
model that combines the island model with the cellular
model. Each island adopts a cellular model and the
migration occurs between neighbouring peers placed in a
virtual ring topology. Three different termination
criteria (effort, time and maxgen) have been
implemented. Experiments were conducted on some popular
benchmarks and scalability, accuracy and the effect of
migration have been studied. Performance are at least
comparable with classical distributed models, retaining
the obvious advantages in terms of decentralisation,
fault tolerance and scalability of P2P systems. We also
demonstrated the important effect of migration in
accelerating the convergence.",
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notes = "JSW",
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bibdate = "2008-08-13",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/jsw/jsw1.html#FolinoFS06",
- }
Genetic Programming entries for
Gianluigi Folino
Agostino Forestiero
Giandomenico Spezzano
Citations