An Improved GAPSO Hybrid Programming Algorithm
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- @InProceedings{Wu:2009:ICIECS,
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author = "Xiaojun Wu and Ying Wang and Tiantian Zhang",
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title = "An Improved GAPSO Hybrid Programming Algorithm",
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booktitle = "International Conference on Information Engineering
and Computer Science, ICIECS 2009",
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year = "2009",
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month = dec,
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abstract = "GAPSO hybrid programming algorithm, which is a
concise, effective and stable algorithm to solve the
hierarchical problem based on GP algorithm. In terms of
the specific characteristics of discrete magnitude and
continuous magnitude, as well as the superiority of PSO
in continuous quantity optimisation, in this paper we
propose an improved algorithm, which optimises
continuous magnitude by PSO while using GP for discrete
magnitude optimization. Then through mass contrast
experiments with GAPSO hybrid programming algorithm, we
could see that Improved GAPSO hybrid programming
algorithm is more stable and effective in function
modelling.",
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keywords = "genetic algorithms, genetic programming, GP algorithm,
continuous magnitude, continuous quantity optimisation,
discrete magnitude, function modelling, hierarchical
problem, improved GAPSO hybrid programming, mass
contrast experiments, mathematical programming,
particle swarm optimisation",
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DOI = "doi:10.1109/ICIECS.2009.5365983",
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notes = "Sch. of Autom., Northwestern Polytech. Univ., Xi'an,
China. Also known as \cite{5365983}",
- }
Genetic Programming entries for
Xiaojun Wu
Ying Wang
Tiantian Zhang
Citations