On Taxonomy of Evolutionary Computation Problems

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

@InProceedings{Ashlock:2004:OToECP,

• title = "On Taxonomy of Evolutionary Computation Problems",
• author = "Daniel Ashlock and Kenneth M. Bryden and Steven Corns",
• pages = "1713--1719",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• volume = "2",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, data visualisation, evolutionary computation, graph theory, pattern classification, pattern clustering, tree data structures, tree searching cladogram, classification technique, evolutionary computation problems, graph based evolutionary algorithms, hierarchical clustering, standard taxonomic technique, taxonomy, Theory of evolutionary algorithms, Combinatorial \& numerical optimization",
• URL = "https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1072.3780&rep=rep1&type=pdf",
• DOI = "doi:10.1109/CEC.2004.1331102",
• size = "7 pages",
• abstract = "Taxonomy is the practice of classifying members of a group based on their measurable characteristics. In evolutionary computation the problem of telling when two problems are similar is both challenging and important. An accurate classification technique would yield large benefits by permitting a researcher to rationally chose algorithm and parameter setting based on past experience. This study uses a standard taxonomic technique, hierarchical clustering, on a set of taxonomic characters derived from a comparative study using graph based evolutionary algorithms.",
• notes = "Also known as \cite{1331102}. CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Daniel Ashlock Kenneth M Bryden Steven M Corns

Citations