Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{eurogp07:Slany,
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author = "Karel Slan\'y and Luk\'as Sekanina",
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title = "Fitness Landscape Analysis and Image Filter Evolution
Using Functional-Level CGP",
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editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
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booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4445",
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year = "2007",
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address = "Valencia, Spain",
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month = "11-13 " # apr,
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pages = "311--320",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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ISBN = "3-540-71602-5",
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isbn13 = "978-3-540-71602-0",
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DOI = "doi:10.1007/978-3-540-71605-1_29",
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abstract = "This work analyses fitness landscapes for the image
filter design problem approached using functional-level
Cartesian Genetic Programming. Smoothness and
ruggedness of fitness landscapes are investigated for
five genetic operators. It is shown that the mutation
operator and the single-point crossover operator
generate the smoothest landscapes and thus they are
useful for practical applications in this area. In
contrast to the gate-level evolution, a destructive
behaviour of a simple crossover operator has not been
confirmed.",
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notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
Karel Slany
Lukas Sekanina
Citations