Tile-world - A case study of Genetic Network Programming with automatic program generation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Li:2010:ieeeSMC,
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author = "Bing Li and Shingo Mabu and Kotaro Hirasawa",
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title = "Tile-world - A case study of Genetic Network
Programming with automatic program generation",
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booktitle = "IEEE International Conference on Systems Man and
Cybernetics (SMC 2010)",
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year = "2010",
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month = "10-13 " # oct,
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pages = "2708--2715",
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address = "Istanbul, Turkey",
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keywords = "genetic algorithms, genetic programming, Tile-world,
automatic program generation, data mining, elevator
control system, evolutionary algorithm, genetic network
programming, genotype-phenotype mapping process,
graph-based structure, performance evaluation,
automatic programming, data mining, lifts",
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ISSN = "1062-922X",
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iabn13 = "978-1-4244-6586-6",
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DOI = "doi:10.1109/ICSMC.2010.5641793",
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abstract = "Genetic Network Programming (GNP) is a novel
evolutionary algorithm. It has graph-based structures
which is extended from Genetic Algorithm (GA) and
Genetic Programming (GP). Up to now, GNP has been
applied to many research fields such as data mining and
elevator control systems. On the other hand, automatic
program generation is a way to obtain a program without
explicitly programming it, and Genetic Programming is
the traditional paradigm in this field. Drawn from the
inspiration of GP, GNP for Automatic Program Generation
(GNP-APG) has been proposed. GNP-APG is applied to the
Tile-world, which is a famous test bed with dynamic and
uncertain characteristics. GNP-APG uses a kind of
genotype-phenotype mapping process to create program.
The procedure of the program generation based on
evolution is demonstrated in this paper. In
simulations, different tile-worlds between the training
phase and the testing phase are used for performance
evaluations and the results shows that GNP-APG could
have better performances than the conventional GNP
methods.",
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notes = "Also known as \cite{5641793}
Grad. Sch. of Inf., Production & Syst., Waseda Univ.,
Fukuoka, Japan.",
- }
Genetic Programming entries for
Bing Li
Shingo Mabu
Kotaro Hirasawa
Citations