New Factorial Design Theoretic Crossover Operator for Parametrical Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{chan03,
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author = "Kit Yan Chan and M. Emin Aydin and
Terence C. Fogarty",
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title = "New Factorial Design Theoretic Crossover Operator for
Parametrical Problem",
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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 = "22--33",
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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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DOI = "doi:10.1007/3-540-36599-0_3",
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abstract = "Recent research shows that factorial design methods
improve the performance of the crossover operator in
evolutionary computation. However the methods employed
so far ignore the effects of interaction between genes
on fitness, i.e. ``epistasis''. Here we propose the
application of a systematic method for interaction
effect analysis to enhance the performance of the
crossover operator. It is shown empirically that the
proposed method significantly outperforms existing
crossover operators on benchmark problems with high
interaction between the variables.",
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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Kit Yan Chan
Mehmet Emin Aydin
Terence C Fogarty
Citations