A Scalable Cellular Implementation of Parallel Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{folino:2003:tec,

• author = "Gianluigi Folino and Clara Pizzuti and Giandomenico Spezzano",
• title = "A Scalable Cellular Implementation of Parallel Genetic Programming",
• journal = "IEEE Transactions on Evolutionary Computation",
• year = "2003",
• volume = "7",
• number = "1",
• pages = "37--53",
• month = feb,
• keywords = "genetic algorithms, genetic programming, Cellular genetic programming model, load balance, parallel processing, scalability",
• DOI = "doi:10.1109/TEVC.2002.806168",
• abstract = "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 use of the processors. Experimental results on benchmark problems of different complexity show the superiority of the cellular approach with respect to the canonical sequential implementation and the island model. A theoretical performance analysis reveals the high scalability of the implementation realized and allows to predict the size of the population when the number of processors and their efficiency are fixed.",
• notes = "CAGE",

}

Genetic Programming entries for Gianluigi Folino Clara Pizzuti Giandomenico Spezzano

Citations