Cartesian Ant Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Hara:2011:SMC,
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author = "Akira Hara and Manabu Watanabe and
Tetsuyuki Takahama",
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title = "Cartesian Ant Programming",
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booktitle = "IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2011)",
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year = "2011",
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month = "9-12 " # oct,
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pages = "3161--3166",
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address = "Anchorage, Alaska, USA",
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size = "6 pages",
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abstract = "Genetic Programming (GP) is well-known as an
evolutionary method for automatic programming. GP can
optimise tree-structural programs. Cartesian GP (CGP)
is one of the extensions of GP, which generates the
graph structural programs. By using the graph
structure, the solutions can be represented by more
compact programs. Therefore, CGP is widely applied to
the various problems. As a different approach from the
evolution, there is the Ant Colony Optimisation (ACO),
which is an optimisation method for combinatorial
optimisation problems based on the cooperative
behaviour of ants. By using pheromone communication,
the promising solution space can be searched
intensively. In this paper, we propose a new automatic
programming method, which combines CGP and ACO. In this
method, ants generate programs by moving in the
node-network used in CGP. We call this method,
Cartesian Ant Programming (CAP). We examined the
effectiveness of CAP by comparing with CGP on the
search performance in a symbolic regression and a
classification problem.",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, ant colony optimisation, automatic
programming, cartesian ant programming, classification
problem, combinatorial optimisation, compact program,
evolutionary method, graph structural program,
pheromone communication, symbolic regression,
tree-structural program optimisation, ant colony
optimisation, trees (mathematics)",
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DOI = "doi:10.1109/ICSMC.2011.6084146",
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ISSN = "1062-922X",
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notes = "Also known as \cite{6084146}",
- }
Genetic Programming entries for
Akira Hara
Manabu Watanabe
Tetsuyuki Takahama
Citations