Improved Genetic Programming Algorithm
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- @InProceedings{Cheng:2009:ASIA2,
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author = "Huifang Cheng and Yongqiang Zhang and Fangping Li",
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title = "Improved Genetic Programming Algorithm",
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booktitle = "International Asia Symposium on Intelligent
Interaction and Affective Computing, ASIA '09",
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year = "2009",
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month = dec,
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pages = "168--171",
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abstract = "The present study aims at improving the problem
solving ability of the canonical genetic programming
algorithm. The proposed method can be described as
follows. The first investigates initialising
population, the second investigates reproduction
operator, the third investigates crossover operator,
the fourth investigates mutation operation. This
approach is examined on two experiments about symbolic
regression. The results suggest that the new approach
is more effective and more efficient than the canonical
one.",
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keywords = "genetic algorithms, genetic programming, canonical
genetic programming algorithm, crossover operator,
mutation operation, problem solving, reproduction
operator, symbolic regression, regression analysis",
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DOI = "doi:10.1109/ASIA.2009.39",
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notes = "Also known as \cite{5376006}",
- }
Genetic Programming entries for
Huifang Cheng
Yongqiang Zhang
Fangping Li
Citations