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A Fuzzy Clustering Technique for Adapting Tournament Selection

DOI: 10.3923/ijscomp.2011.62.67

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Tournament selection is a popular selection scheme commonly used in genetic algorithms. This method depends largely on the size of the tournament which influences the quality of the final solution. In this study, a new technique is used to dynamically adjust the tournament size using the fuzzy c-means algorithm. The efficiency of the proposed technique is shown by using several benchmark test functions.


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