Context-Based Repeated Sequences in Linear Genetic Programming

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

@InProceedings{eurogp:WilsonH05,

• author = "Garnett Carl Wilson and Malcolm I. Heywood",
• editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
• title = "Context-Based Repeated Sequences in Linear Genetic Programming",
• booktitle = "Proceedings of the 8th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3447",
• year = "2005",
• address = "Lausanne, Switzerland",
• month = "30 " # mar # " - 1 " # apr,
• organisation = "EvoNet",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-25436-6",
• pages = "240--249",
• URL = "http://flame.cs.dal.ca/~gwilson/docs/papers/EuroGP_2005.pdf",
• DOI = "doi:10.1007/978-3-540-31989-4_21",
• DOI = "doi:10.1007/b107383",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "Repeating code sequences are found in both artificial and natural genomes as an emergent phenomenon. These patterns are of interest in researching both how evolution reuses code segments to create superior individuals and whether building blocks are used in the formation of repeated sequences. In this paper we describe a GP representation using a special type of crossover that is more conducive to the formation of repeated sequences than traditional GP. We then establish that the repeated sequence phenomenon in the implementation displays traits of building blocks by establishing associated regularity of genotype and phenotype elements. As additional merits, the pattern-rich implementation boasts succinct solutions with less bloat and accomplishes the code regularity without a loss in performance with respect to fitness.",
• notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in conjunction with EvoCOP2005 and EvoWorkshops2005",

}

Genetic Programming entries for Garnett Carl Wilson Malcolm Heywood

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