New Factorial Design Theoretic Crossover Operator for Parametrical Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{chan03,

• author = "Kit Yan Chan and M. Emin Aydin and Terence C. Fogarty",
• title = "New Factorial Design Theoretic Crossover Operator for Parametrical Problem",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
• year = "2003",
• editor = "Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa",
• volume = "2610",
• series = "LNCS",
• pages = "22--33",
• address = "Essex",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-00971-X",
• DOI = "doi:10.1007/3-540-36599-0_3",
• 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.",
• notes = "EuroGP'2003 held in conjunction with EvoWorkshops 2003",

}

Genetic Programming entries for Kit Yan Chan Mehmet Emin Aydin Terence C Fogarty

Citations