Embracing Plagiarism: Theoretical, Biological and Empirical Justification for Copy Operators in Genetic Optimisation

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

@Article{McGregor:2005:GPEM,

• author = "S. McGregor and I. Harvey",
• title = "Embracing Plagiarism: Theoretical, Biological and Empirical Justification for Copy Operators in Genetic Optimisation",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2005",
• volume = "6",
• number = "4",
• pages = "407--420",
• month = dec,
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Genetic operators, Boolean logic, evolutionary design, translocation, transposition",
• ISSN = "1389-2576",
• URL = "http://www.cogs.susx.ac.uk/users/inmanh/Plagiarism.pdf",
• DOI = "doi:10.1007/s10710-005-4804-9",
• size = "14 pages",
• abstract = "A novel genetic operator, the plagiarism operator, is introduced for evolutionary design and optimisation. This operator is analogous in some respects to crossover and to biological transposition. Plagiarism is shown to be theoretically superior to uniform mutation for generalised counting-ones problems, and also to outperform uniform mutation on certain classes of random fitness landscapes. Experimental results are presented showing that plagiarism speeds up the artificial evolution of certain digital logic circuits. The performance of this operator is interpreted in terms of the non-uniform distribution of genetic primitives in good solutions for certain problems.",
• notes = "p407 'the plariarism operator simply copies a genetic primitive from one locus to another'. p413 'uniform mutation is a biased operator'.",

}

Genetic Programming entries for Simon McGregor Inman Harvey

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