Initialization method for grammar-guided genetic programming
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- @Article{Garcia-Arnau:2007:KBS,
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author = "M. Garcia-Arnau and D. Manrique and J. Rios and
A. Rodriguez-Paton",
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title = "Initialization method for grammar-guided genetic
programming",
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journal = "Knowledge-Based Systems",
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year = "2007",
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volume = "20",
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number = "2",
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pages = "127--133",
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month = mar,
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note = "AI 2006, The 26th SGAI International Conference on
Innovative Techniques and Applications of Artificial
Intelligence",
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keywords = "genetic algorithms, genetic programming,
Grammar-guided genetic programming, Initialisation
method, Tree-generation algorithm, Breast cancer
prognosis, GGGP",
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DOI = "doi:10.1016/j.knosys.2006.11.006",
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abstract = "This paper proposes a new tree-generation algorithm
for grammar-guided genetic programming that includes a
parameter to control the maximum size of the trees to
be generated. An important feature of this algorithm is
that the initial populations generated are adequately
distributed in terms of tree size and distribution
within the search space. Consequently, genetic
programming systems starting from the initial
populations generated by the proposed method have a
higher convergence speed. Two different problems have
been chosen to carry out the experiments: a laboratory
test involving searching for arithmetical equalities
and the real-world task of breast cancer prognosis. In
both problems, comparisons have been made to another
five important initialisation methods.",
- }
Genetic Programming entries for
M Garcia-Arnau
Daniel Manrique Gamo
Juan Rios Carrion
Alfonso Rodriguez-Paton Aradas
Citations