Homology gives size control in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{defoin-platel:2003:hgscigp,

• author = "Michael {Defoin Platel} and Manuel Clergue and Philippe Collard",
• title = "Homology gives size control in genetic programming",
• 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 = "281--288",
• 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, Evolutionary computation, Genetic mutations, Protection, Size control, Space exploration, Testing, parity, pattern recognition, search problems, accurate control, bloat reduction, even-N parity problem, homologous crossover, search space exploration, size control",
• ISBN = "0-7803-7804-0",
• URL = "http://www.i3s.unice.fr/~defoin/publications/cec_03.pdf",
• DOI = "doi:10.1109/CEC.2003.1299586",
• size = "8 pages",
• abstract = "The Maximum Homologous Crossover attempts to preserve similar structures from parents by aligning them according to their homology. In this paper, it is successfully tested on the classical Even-N Parity Problem where it demonstrates interesting abilities in bloat reduction. Then, we show that this operator gives an accurate control of the size of programs during the evolution and thus, allows the development of new strategies for the search space exploration.",
• notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust, the EPS, and the IEE.",

}

Genetic Programming entries for Michael Defoin Platel Manuel Clergue Philippe Collard

Citations