Population Exploration on Genotype Networks in Genetic Programming

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

@InProceedings{Hu:2014:PPSN,

• author = "Ting Hu and Wolfgang Banzhaf and Jason Moore",
• title = "Population Exploration on Genotype Networks in Genetic Programming",
• booktitle = "13th International Conference on Parallel Problem Solving from Nature",
• year = "2014",
• editor = "Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith",
• publisher = "Springer",
• isbn13 = "978-3-319-10761-5",
• pages = "424--333",
• series = "Lecture Notes in Computer Science",
• address = "Ljubljana, Slovenia",
• month = "13-17 " # sep,
• volume = "8672",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/978-3-319-10762-2_42",
• abstract = "Redundant genotype-to-phenotype mappings are pervasive in evolutionary computation. Such redundancy allows populations to expand in neutral genotypic regions where mutations to a genotype do not alter the phenotypic outcome. Genotype networks have been proposed as a useful framework to characterise the distribution of neutrality among genotypes and phenotypes. In this study, we examine a simple Genetic Programming model that has a finite and compact genotype space by characterising its genotype networks. We study the topology of individual genotype networks underlying unique phenotypes, investigate the genotypic properties as vertices in genotype networks, and discuss the correlation of these network properties with robustness and evolvability. Using GP simulations of a population, we demonstrate how an evolutionary population diffuses on genotype networks.",
• notes = "PPSN-XIII",

}

Genetic Programming entries for Ting Hu Wolfgang Banzhaf Jason H Moore

Citations