@article{MAKHILLIJSC20116321039,
    title = {A Fuzzy Clustering Technique for Adapting Tournament Selection},
    journal = {International Journal of Soft Computing},
    volume = {6},
    number = {3},
    pages = {62-67},
    year = {2011},
    issn = {1816-9503},
    doi = {ijscomp.2011.62.67},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2011.62.67},
    author = {Khalid,Abdelaziz,Abdelaziz El and},
    keywords = {tournament size,Tournament selection,evolutionary algorithms,unsupervised fuzzy clustering,fuzzy c-means,genetic algorithms},
    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.}
    }