How functional dependency adapts to salience hierarchy in the GAuGE system

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{nicolau03,

• author = "Miguel Nicolau and Conor Ryan",
• title = "How functional dependency adapts to salience hierarchy in the {GAuGE} system",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
• year = "2003",
• editor = "Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa",
• volume = "2610",
• series = "LNCS",
• pages = "153--163",
• address = "Essex",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• ISBN = "3-540-00971-X",
• URL = "http://www.grammatical-evolution.org/papers/nicolau03salience.ps",
• DOI = "doi:10.1007/3-540-36599-0_14",
• abstract = "GAuGE is a position independent genetic algorithm that suffers from neither under nor over-specification, and uses a genotype to phenotype mapping process. By specifying both the position and the value of each gene, it has the potential to group important data together in the genotype string, to prevent it from being broken up and disrupted during the evolution process. To test this ability, GAuGE was applied to a set of problems with exponentially scaled salience. The results obtained demonstrate that GAuGE is indeed moving the more salient genes to the start of the genotype strings, creating robust individuals that are built in a progressive fashion from the left to the right side of the genotype.",
• notes = "EuroGP'2003 held in conjunction with EvoWorkshops 2003",

}

Genetic Programming entries for Miguel Nicolau Conor Ryan

Citations