Saving computational effort in genetic programming by means of plagues
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{fernandez:2003:sceigpbmop,
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author = "F. Fernandez and M. Tomassini and L. Vanneschi",
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title = "Saving computational effort in genetic programming by
means of plagues",
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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 = "2042--2049",
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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, Biological
cells, Computational efficiency, Computer science, Data
structures, Evolutionary computation, Proposals, Size
control, Tree data structures, computational
complexity, computational cost, computational effort,
computing resources, computing time, evolutionary
algorithm",
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ISBN = "0-7803-7804-0",
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DOI = "doi:10.1109/CEC.2003.1299924",
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abstract = "A new technique for saving computing resources when
using Genetic Programming is presented in this work.
Instead of directly fighting bloat -the main factor
explaining the large computational cost required for
the evaluation of generations- by acting on
individuals, we apply a new operator to the whole
population: the plague. By removing some individuals
every generation, we compensate for the increase in
size of individuals, thus saving computing time when
looking for solutions.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Francisco Fernandez de Vega
Marco Tomassini
Leonardo Vanneschi
Citations