International Journal of Soft Computing

Year: 2011
Volume: 6
Issue: 3
Page No. 62 - 67

A Fuzzy Clustering Technique for Adapting Tournament Selection

Authors : Abdelaziz El Moujahid, Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami

Abstract: 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.

How to cite this article:

Abdelaziz El Moujahid, Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami, 2011. A Fuzzy Clustering Technique for Adapting Tournament Selection. International Journal of Soft Computing, 6: 62-67.

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