Is increased diversity in genetic programming beneficial? An analysis of the effects on performance

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{gustafson:2003:iidigpbaaoteop,

• author = "Edmund K. Burke and Steven Gustafson and Graham Kendall and Natalio Krasnogor",
• title = "Is increased diversity in genetic programming beneficial? An analysis of the effects on performance",
• booktitle = "Proceedings of the 2003 Congress on Evolutionary Computation CEC2003",
• editor = "Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon",
• pages = "1398--1405",
• year = "2003",
• publisher = "IEEE Press",
• address = "Canberra",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "8-12 " # dec,
• organisation = "IEEE Neural Network Council (NNC), Engineers Australia (IEAust), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
• keywords = "genetic algorithms, genetic programming, Convergence, Entropy, Evolutionary computation, Shape, Stochastic processes, artificial life, regression analysis, artificial ant, binomial-3 function, even-5-parity, genetic lineage selection, symbolic regression",
• ISBN = "0-7803-7804-0",
• DOI = "doi:10.1109/CEC.2003.1299834",
• abstract = "A selection strategy based on genetic lineages is used to increase genetic diversity. A genetic lineage is defined as the path from an individual to individuals which were created from its genetic material. The method is applied to three problem domains: Artificial Ant, Even-5-Parity and symbolic regression of the Binomial-3 function. We examine how increased diversity affects problems differently and draw conclusions about the types of diversity which are more important for each problem. Results indicate that diversity in the Ant problem helps to overcome deception, while elitism in combination with diversity is likely to benefit the Parity and regression problems.",
• notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust, the EPS, and the IEE.",

}

Genetic Programming entries for Edmund Burke Steven M Gustafson Graham Kendall Natalio Krasnogor

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