Control of bloat in Genetic Programming by means of the Island Model

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

@InProceedings{Fernandez:PPSN:2004,

• author = "Francisco Fernandez-de-Vega and German Galeano Gil and Juan Antonio Gomez Pulido and Jose Luis Guisado",
• title = "Control of bloat in Genetic Programming by means of the Island Model",
• booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
• year = "2004",
• editor = "Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
• volume = "3242",
• pages = "263--271",
• series = "LNCS",
• address = "Birmingham, UK",
• publisher_address = "Berlin",
• month = "18-22 " # sep,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-23092-0",
• URL = "https://rdcu.be/dc0jJ",
• DOI = "doi:10.1007/b100601",
• DOI = "doi:10.1007/978-3-540-30217-9_27",
• abstract = "a new proposal for reducing bloat in Genetic Programming. This proposal is based in a well-known parallel evolutionary model: the island model. We firstly describe the theoretical motivation for this new approach to the bloat problem, and then we present a set of experiments that gives us evidence of the findings extracted from the theory. The experiments have been performed on a representative problem extracted from the GP field: the even parity 5 problem. We analyse the evolution of bloat employing different settings for the parameters employed. The conclusion is that the Island Model helps to prevent the bloat phenomenon.",
• notes = "PPSN-VIII",

}

Genetic Programming entries for Francisco Fernandez de Vega German Galeano Juan Antonio Gomez Jose Luis Guisado

Citations