Population Exploration on Genotype Networks in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Hu:2014:PPSN,
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author = "Ting Hu and Wolfgang Banzhaf and Jason Moore",
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title = "Population Exploration on Genotype Networks in Genetic
Programming",
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booktitle = "13th International Conference on Parallel Problem
Solving from Nature",
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year = "2014",
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editor = "Thomas Bartz-Beielstein and Juergen Branke and
Bogdan Filipic and Jim Smith",
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publisher = "Springer",
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isbn13 = "978-3-319-10761-5",
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pages = "424--333",
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series = "Lecture Notes in Computer Science",
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address = "Ljubljana, Slovenia",
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month = "13-17 " # sep,
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volume = "8672",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1007/978-3-319-10762-2_42",
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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.",
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notes = "PPSN-XIII",
- }
Genetic Programming entries for
Ting Hu
Wolfgang Banzhaf
Jason H Moore
Citations