Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP

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

@InProceedings{eurogp07:Slany,

• author = "Karel Slan\'y and Luk\'as Sekanina",
• title = "Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP",
• editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
• booktitle = "Proceedings of the 10th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4445",
• year = "2007",
• address = "Valencia, Spain",
• month = "11-13 " # apr,
• pages = "311--320",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• ISBN = "3-540-71602-5",
• isbn13 = "978-3-540-71602-0",
• DOI = "doi:10.1007/978-3-540-71605-1_29",
• 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.",
• 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

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