C4ISR Technology Key Laboratory of Science and Technology for National Defense, National University of Defense Technology, Changsha, China

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Abstract—The efficiency of model-aided decision making relies on the intelligent level of model selection. The purpose of this paper is to develop a new algorithm for model selection based on genetic programming. In the algorithm, the meta-models are classified according to the characteristics of the sample data, and the combined models are built as tree format. The genetic operations are performed under some constraints to produce combination models for users’ reference. The process of the algorithm greatly decreases users’ dependence on domain knowledge.

Index Terms—DSS; Model Base; Automatic Model Selection; Genetic Programming

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Cite: Chaofan Dai, Yanghe Feng, Jianmai Shi, "Evolutioinary Combination of Models in DSS based on Genetic Programming," Journal of Software vol. 6, no. 3, pp. 444-451, 2011.