Evolving distributed algorithms with genetic programming: election

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

@InProceedings{WeiseZ:2009:GEC,

• author = "Thomas Weise and Michael Zapf",
• title = "Evolving distributed algorithms with genetic programming: election",
• booktitle = "GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation",
• year = "2009",
• editor = "Lihong Xu and Erik D. Goodman and Guoliang Chen and Darrell Whitley and Yongsheng Ding",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• pages = "577--584",
• address = "Shanghai, China",
• organisation = "SigEvo",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.4970",
• URL = "http://www.it-weise.de/documents/files/WZ2009EDAWGPE.pdf",
• DOI = "doi:10.1145/1543834.1543913",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• month = jun # " 12-14",
• isbn13 = "978-1-60558-326-6",
• keywords = "genetic algorithms, genetic programming",
• abstract = "In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make it especially difficult. These aspects are discussed and countermeasures are provided. Six different Genetic Programming approaches (SGP, eSGP, LGP, RBGP, eRBGP, and Fraglets) are applied to the election problem as case study using these countermeasures. The results of the experiments are analysed statistically and discussed thoroughly.",
• notes = "Also known as \cite{DBLP:conf/gecco/WeiseZ09} part of \cite{DBLP:conf/gec/2009}",

}

Genetic Programming entries for Thomas Weise Michael Zapf

Citations