The identification of CTQs for complex products is the first step to implement quality control. To improve the efficiency and\naccuracy of CTQs identification, we propose a novel hybrid approach based on mutual information and improved gravitational\nsearch algorithm, which has advantages of filter and wrapper. At first, the information relevance and redundancy are measured by\nmutual information. Then, the improved gravitational search algorithm is used to search the CTQs. Experimentation is carried out\nusing 2 UCI data sets, and the classification capability of CTQs is tested by SVM and tenfold cross validation.The results show that\nthe presented method is verified to be effective and practically applicable.
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