A New Approach to Genetic Programming based on Evolution Strategies
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Costa:2006:ICSMC,
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author = "Eduardo Oliveira Costa and Aurora Pozo",
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title = "A New Approach to Genetic Programming based on
Evolution Strategies",
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booktitle = "IEEE International Conference on Systems, Man and
Cybernetics, ICSMC '06",
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year = "2006",
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volume = "6",
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pages = "4832--4837",
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address = "Taipei, Taiwan",
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month = "8-11 " # oct,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-4244-0100-3",
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DOI = "doi:10.1109/ICSMC.2006.385070",
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abstract = "This paper proposes a new approach to induction of
programs by Genetic Progranuning (GP) using the ideas
of Evolutionary Strategies (ES). The goal of this work
is to develop a variety of Genetic Programming
algorithm by doing some modifications on the classical
GP algorithm and adding some concepts of Evolutionary
Strategies. The new approach was evaluated using two
instances of the Symbolic Regression problem - the
Binomial-3 problem (a tunably difficult problem),
proposed in [5] and the Time Series problem (an
application of symbolic regression) - and a problem of
a different domain, the Santa Fe Artificial Ant
problem. The results discovered were compared with the
classical GP algorithm. The Symbolic Regression
problems obtained excellent results and an improvement
was detected, but this does not happened with the
Artificial Ant problem.",
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notes = "Computer Science Department, Federal University of
Parana (UFPR), PO Box 19081, 81531-970, Curitiba,
Brazil,",
- }
Genetic Programming entries for
Eduardo Oliveira Costa
Aurora Trinidad Ramirez Pozo
Citations