Implications of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture

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@Article{Georgiou:2006:WSEAS,

• author = "Loukas Georgiou and William J. Teahan",
• title = "Implications of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture",
• journal = "WSEAS Transactions on Systems",
• year = "2006",
• volume = "5",
• number = "10",
• pages = "2338--2345",
• month = oct,
• keywords = "genetic algorithms, genetic programming, grammatical evolution, genetic algorithms, evolutionary computation,agents, jGE, libGE, GP, GE",
• ISSN = "1109-2777",
• URL = "http://www.worldses.org/journals/systems/old.htm",
• abstract = "Grammatical Evolution (GE) is a novel evolutionary algorithm which uses an arbitrary variable-length binary string to govern which production rule of a Backus Naur Form grammar will be used in a genotype-to-phenotype mapping process. This paper introduces the Java GE project (jGE), which is an implementation of GE in the Java language, and presents the results of the first experiments which have been conducted towards a knowledge sharing approach using families of populations. The initial results show that the application of Prior Knowledge and Population Thinking in jGE is promising and this drives us toward a further investigation of the family-based approach whose main characteristics are the incorporation of genetic/phenotypic diversity in the population and the sharing of knowledge between individuals of the same groups (families).",
• notes = "

  Record 2108 of 7009 in Inspec 2005-2006 http://www.wseas.us/indexes/iee/2004-2007.txt

  ",

}

Genetic Programming entries for Loukas Georgiou William J Teahan

Citations