Fitness distance correlation in genetic programming: A constructive counterexample
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{vanneschi:2003:fdcigpacc,
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author = "L. Vanneschi and M. Tomassini and P. Collard and
M. Clergue",
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title = "Fitness distance correlation in genetic programming: A
constructive counterexample",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "289--296",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Algorithm
design and analysis, Genetic mutations, Hamming
distance, Laboratories, Sampling methods, Statistics,
Stochastic processes, Tree data structures, statistical
analysis, constructive counterexample, fitness distance
correlation coefficient, hand-tailored function,
infallible measure, problem difficulty",
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ISBN = "0-7803-7804-0",
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DOI = "doi:10.1109/CEC.2003.1299587",
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abstract = "The fitness distance correlation coefficient has been
shown to be a reasonable measure to quantify problem
difficulty in genetic algorithms and genetic
programming for a wide set of problems. In this paper
we present an hand-tailored function for which fitness
distance correlation fails to correctly predict problem
difficulty in genetic programming. This counterexample
proves that fitness distance correlation, although
reliable, is not an infallible measure to quantify
problem difficulty.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Leonardo Vanneschi
Marco Tomassini
Philippe Collard
Manuel Clergue
Citations