Neutrality and the Evolvability of Boolean Function Landscape

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

@InProceedings{yu:2001:EuroGP_neutrality,

• author = "Tina Yu and Julian Miller",
• title = "Neutrality and the Evolvability of {Boolean} Function Landscape",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
• year = "2001",
• editor = "Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon",
• volume = "2038",
• series = "LNCS",
• pages = "204--217",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18-20 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Neutrality, Evolvability, Boolean function landscape, Neutral mutation, Exploration vs. Exploitation, Graph-based Genetic Programming",
• ISBN = "3-540-41899-7",
• URL = "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/neutrality.pdf",
• DOI = "doi:10.1007/3-540-45355-5_16",
• size = "14 pages",
• abstract = "This work is a study of neutrality in the context of Evolutionary Computation systems. In particular, we introduce the use of explicit neutrality with an integer string coding scheme to allow neutrality to be measured during evolution. We tested this method on a Boolean benchmark problem. The experimental results indicate that there is a positive relationship between neutrality and evolvability: neutrality improves evolvability. We also identify four characteristics of adaptive/neutral mutations that are associated with high evolvability. They may be the ingredients in designing effective Evolutionary Computation systems for the Boolean class problem.",
• notes = "EuroGP'2001, part of \cite{miller:2001:gp}",

}

Genetic Programming entries for Tina Yu Julian F Miller

Citations