Zhou Litao

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This paper presents a machine learning classifier algorithm based on MOGA (Multi-Objective Genetic Algorithm), which applies the information entropy theory to optimize the MOGA and then can be used to discretize the continuous attributes. According to the practical problems, the fitness vector can be constructed by judging multi-objective functions to find(More)
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