On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{DBLP:conf/pdp/GonzalezV07,

• author = "Daniel Lombrana Gonzalez and Francisco {Fernandez de Vega}",
• title = "On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming",
• booktitle = "15th Euromicro Conference on Parallel, Distributed and Network-based Processing",
• year = "2007",
• editor = "Pasqua D'Ambra and Mario R. Guarracino",
• pages = "450--458",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• address = "Naples",
• month = "7-9 " # feb,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, fault tolerance, parallel genetic programming",
• ISBN = "0-7695-2784-1",
• ISSN = "1066-6192",
• DOI = "doi:10.1109/PDP.2007.56",
• abstract = "In this paper we show how Parallel Genetic Programming can run on a distributed system with volatile resources without any lack of efficiency. By means of a series of experiments, we test whether Parallel GP -and consistently Evolutionary Algorithms- are intrinsically fault-tolerant. The interest of this result is crucial for researchers dealing with real-life problems in which parallel and distributed systems are required for obtaining results on a reasonable time. In that case, parallel GP tools will not require the inclusion of fault-tolerant computing techniques or libraries when running on Meta-systems undergoing volatility, such us Desktop Grids offering Public Resource Computing. We test the performance of the algorithm by studying the quality of solutions when running over distributed resources undergoing processors failures, when compared with a fault-free environment. This new feature, which shows its advantages, improves the dependability of the Parallel Genetic Programming Algorithm.",
• notes = "PDP 2007 http://www.na.icar.cnr.it/~pdp2007",

}

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

Citations