Characterizing fault tolerance in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Gonzalez:2009:BADS,

• author = "Daniel Lombrana Gonzalez and Francisco {Fernandez de Vega} and Henri Casanova",
• title = "Characterizing fault tolerance in genetic programming",
• booktitle = "BADS '09: Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems",
• year = "2009",
• editor = "Gianluigi Folino and Natalio Krasnogor and Carlo Mastroianni and Franco Zambonelli",
• pages = "1--10",
• address = "Barcelona, Spain",
• publisher_address = "New York, NY, USA",
• month = jun # " 15-19",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Fault-tolerance, parallel genetic programming, desktop grids",
• isbn13 = "978-1-60558-584-0",
• URL = "http://navet.ics.hawaii.edu/~casanova/homepage/papers/lombrana_bads2007.pdf",
• DOI = "doi:10.1145/1555284.1555286",
• size = "10 pages",
• abstract = "Evolutionary Algorithms (EAs), and particularly Genetic Programming (GP), are techniques frequently employed to solve difficult real-life problems, which can require up to days or months of computation. One approach to reduce the time to solution is to use parallel computing on distributed platforms. Distributed platforms are prone to failures, and when these platforms are large and/or low-cost, failures are expected events rather than catastrophic exceptions. Therefore, fault tolerance and recovery techniques often become necessary. It turns out that Parallel GP (PGP) applications have an inherent ability to tolerate failures. This ability is quantified via simulation experiments performed using failure traces from real-world distributed platforms, namely, desktop grids (DGs), for two well-known GP problems. A simple technique is then proposed by which PGP applications can better tolerate the different, and often high, failures rates seen in different platforms.",
• notes = "Also known as \cite{1555286} even-5-parity, 11-multiplexor",

}

Genetic Programming entries for Daniel Lombrana Gonzalez Rodriguez Francisco Fernandez de Vega Henri Casanova

Citations