Unsupervised Fuzzy Tournament Selection
نویسندگان
چکیده
Tournament selection has been widely used and studied in evolutionary algorithms. The size of tournament is a crucial parameter for this method. It influences on the algorithm convergence, the population diversity and the solution quality. This paper presents a new technique to adjust this parameter dynamically using fuzzy unsupervised learning. The efficiency of the proposed technique is shown by using several benchmark multimodal test functions.
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تاریخ انتشار 2011