Decision Support Systems Using Ensemble Genetic Programming

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Decision Support Systems Using Ensemble Genetic Programming
Abstract. This paper proposes a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and an ensemble of three well-known genetic programming techniques to classify the different decision regions accurately. The genetic programming techniques used are: Linear Genetic programming (LGP), Multi-Expression Programming (MEP) and Gene Expression Programming (GEP). The clustered data are used as the inputs to the genetic programming algorithms. Some simulation results demonstrating the difference of these techniques are also performed. Test results reveal that the proposed ensemble method performed better than the individual GP approaches and that the method is efficient.
Ajith Abraham, Crina Grosan
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JIKM
Authors Ajith Abraham, Crina Grosan
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