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• W2492894217 abstract "Tournament selection has been widely used and studied in evolutionary algorithms. The size of tournament is a crucial parameter for this method. It inuences 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 eciency of the proposed technique is shown by using several benchmark multimodal test functions." @default.
• W2492894217 created "2016-08-23" @default.
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• W2492894217 date "2011-01-01" @default.
• W2492894217 modified "2023-09-26" @default.
• W2492894217 title "Unsupervised Fuzzy Tournament Selection" @default.
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