Some contributions to improve Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7410
- @PhdThesis{elgerari:tel-00918968,
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author = "Oussama {El Gerari}",
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title = "Some contributions to improve Genetic Programming",
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title_fr = "Contribution a l'amelioration des techniques de la
programmation genetique",
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school = "Universite du Littoral Cote d'Opale",
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year = "2011",
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address = "Lille, France",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Linear
genetic programming, Differential evolution,
Programmation g{\'e}n{\'e}tique, Programmation
g{\'e}n{\'e}tique lin{\'e}aire, {\'E}volution
diff{\'e}rentielle",
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number = "2011DUNK0335",
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hal_id = "tel-00918968",
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hal_version = "v1",
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URL = "
https://tel.archives-ouvertes.fr/tel-00918968/file/ELGERARI.pdf",
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URL = "
https://tel.archives-ouvertes.fr/tel-00918968",
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size = "81 pages",
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abstract = "This thesis mainly deals with genetic programming. In
this work, we are interested in improving the overall
performance of genetic programming (GP) when dealing
with rich grammar when the terminal set is very large.
We introduce the problem of attributes selection and in
our work we introduce a scheme based on the weight
(based on the frequency) to refine the attribute
selection. In the second part of this work, we try to
improve the evolution engine with the help of the
differential evolution (DE) algorithm. This new engine
is applied to linear genetic programming. We then
present some experiments and make some comparisons on a
set of classical benchmarks.",
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notes = "In french, Santa Fe ant
Francais",
- }
Genetic Programming entries for
Oussama El Gerari
Citations