Improvement of the Success Rate of Automatic Generation of Procedural Programs with Variable Initialization Using Genetic Programming
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- @InProceedings{Horii:2014:IIAIAAI,
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author = "F. Horii and T. Hochin and H. Nomiya",
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booktitle = "3rd International Conference on Advanced Applied
Informatics (IIAIAAI 2014)",
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title = "Improvement of the Success Rate of Automatic
Generation of Procedural Programs with Variable
Initialization Using Genetic Programming",
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year = "2014",
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month = aug,
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pages = "699--704",
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abstract = "Genetic Programming (GP), a method of evolutionary
computation, is used in producing a variety of
programs. In order to generate a procedural program,
handling variables is required. It increases the number
of combinations of generated programs. This paper
proposes a method including the automatic
initialisation of variables and decreasing the number
of combinations of them. For this propose, two major
revisions are introduced. One is the introduction of
new parameters, the maximum depth and the minimum depth
of the height of a program tree. These make programs
easy to have a specific structure. The other is the
addition of genetic operations. These are for avoiding
convergence of programs. Owing to these revisions, it
is possible to improve the success rate of the
generation of program that includes all of
requirement.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IIAI-AAI.2014.144",
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notes = "Also known as \cite{6913388}",
- }
Genetic Programming entries for
F Horii
Teruhisa Hochin
Hiroki Nomiya
Citations