Issues on the Optimisation of Evolutionary Algorithms Code
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Collet:2002:IotOoEAC,
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author = "Pierre Collet and Jean Louchet and Evelyne Lutton",
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title = "Issues on the Optimisation of Evolutionary Algorithms
Code",
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booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
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editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
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pages = "1103--1108",
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year = "2002",
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publisher = "IEEE Press",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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keywords = "genetic algorithms, genetic programming, code
optimisation, computation time, computational
complexity, evolutionary algorithms, fitness,
testbenches, computational complexity, evolutionary
computation,",
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ISBN = "0-7803-7278-6",
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month = "12-17 " # may,
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DOI = "doi:10.1109/CEC.2002.1004397",
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abstract = "The aim of this paper is to show that the common
belief, in the evolutionary community, that evaluation
time usually takes over 90percent of the total time, is
far from being always true. In fact, many real-world
applications showed a much lower percentage. This
raises several questions, one of them being the balance
between fitness and operators computational complexity:
what is the use of elaborating smart evolutionary
operators to reduce the number of evaluations if as a
result, the total computation time is increased?",
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notes = "CEC 2002 - A joint meeting of the IEEE, the
Evolutionary Programming Society, and the IEE. Held in
connection with the World Congress on Computational
Intelligence (WCCI 2002)",
- }
Genetic Programming entries for
Pierre Collet
Jean Louchet
Evelyne Lutton
Citations