The Application of Macro-Economic Prediction Based on Improved Gene Expression Programming
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- @InProceedings{Yan:2009:CINC,
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author = "Jingfeng Yan and Guoqing Li",
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title = "The Application of Macro-Economic Prediction Based on
Improved Gene Expression Programming",
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booktitle = "International Conference on Computational Intelligence
and Natural Computing, CINC '09",
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year = "2009",
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month = "6-7 " # jun,
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volume = "1",
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pages = "266--268",
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abstract = "An improved gene expression programming (IGEP) is
proposed in this paper. It has some new features: 1)
introducing a new individual coding; 2) introducing a
new way of creating constants; 3) introducing a hybrid
self-adaptive crossover-mutation operator, which can
enhance the search ability and exploit the optimum
offspring. To validate the performance of IGEP, this
paper applies IGEP into the solution of the
macro-economic predictions. The experimental results
demonstrate that Improved GEP can automatically find
better Optimisation Model, based on which prediction
will be generated much more exactly.",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, hybrid self-adaptive
crossover-mutation operator, improved gene expression
programming, macro-economic prediction, optimum
offspring, search ability, macroeconomics",
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DOI = "doi:10.1109/CINC.2009.31",
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notes = "Coll. of Comput. Sci. & Technol., Xuchang Univ.,
Xuchang, China Also known as \cite{5231146}",
- }
Genetic Programming entries for
Jingfeng Yan
Guoqing Li
Citations