Maximum Homologous Crossover for Linear Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{platel83,
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author = "Michael {Defoin Platel} and Manuel Clergue and
Philippe Collard",
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title = "Maximum Homologous Crossover for Linear Genetic
Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
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year = "2003",
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editor = "Conor Ryan and Terence Soule and Maarten Keijzer and
Edward Tsang and Riccardo Poli and Ernesto Costa",
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volume = "2610",
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series = "LNCS",
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pages = "194--203",
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address = "Essex",
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publisher_address = "Berlin",
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month = "14-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-00971-X",
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URL = "http://www.i3s.unice.fr/~defoin/publications/eurogp_03.pdf",
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size = "11 pages",
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DOI = "doi:10.1007/3-540-36599-0_18",
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abstract = "We introduce a new recombination operator, the Maximum
Homologous Crossover for Linear Genetic Programming. In
contrast to standard crossover, it attempts to preserve
similar structures from parents, by aligning them
according to their homology, thanks to an algorithm
used in Bio-Informatics. To highlight disruptive
effects of crossover operators, we introduce the Royal
Road landscapes and the Homology Driven Fitness
problem, for Linear Genetic Programming. Two variants
of the new crossover operator are described and tested
on this landscapes. Results show a reduction in the
bloat phenomenon and in the frequency of deleterious
crossovers.",
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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Michael Defoin Platel
Manuel Clergue
Philippe Collard
Citations