Automatic program generation with genetic network programming using subroutines
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Li:2010:SICE,
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author = "Bing Li and Shingo Mabu and Kotaro Hirasawa",
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title = "Automatic program generation with genetic network
programming using subroutines",
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booktitle = "Proceedings of SICE Annual Conference 2010",
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year = "2010",
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address = "Taipei, Taiwan",
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month = "18-21 " # aug,
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pages = "3089--3094",
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organisation = "SICE",
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keywords = "genetic algorithms, genetic programming, automatic
program generation, evolutionary algorithm, genetic
network programming, genotype phenotype mapping
technology, graph based structure, subroutine program,
automatic programming, performance evaluation,
subroutines",
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isbn13 = "978-1-4244-7642-8",
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URL = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5602565",
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abstract = "Genetic Network Programming with Automatic Program
Generation (GNP-APG) is an evolutionary algorithm to
generate programs. Genotype-phenotype mapping
technology is introduced in this algorithm to create
legal programs. With the help of graph-based structures
of Genetic Network Programming (GNP), GNP-APG can
efficiently generate robust programs to cope with
problems. In this paper, the extended algorithm of
GNP-APG is proposed which can create a hierarchy
program, in other words, a program which contains a
main function and subroutines. The proposed method
works like Automatic Defined Functions (ADFs) in
Genetic Programming (GP). By using subroutines, a
complex program can be decomposed to several simple
programs which are obtained more easily. Moreover,
these subroutines might be called many times, which
results in reducing the size of the program
significantly. In simulations, different tile-worlds
between the training phase and testing phase are used
for performance evaluations and the results shows that
GNP-APG with subroutines (GNP-APGsr) could have better
performances than GNP-APG.",
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notes = "tile world. Grad. Sch. of Inf., Production & Syst.,
Waseda Univ., Fukuoka, Japan. Also known as
\cite{5602565}",
- }
Genetic Programming entries for
Bing Li
Shingo Mabu
Kotaro Hirasawa
Citations