存在主义 发表于 2025-3-23 12:12:12
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D. Grunenwald,P. R. Vouhe,W. Khoury,J. Y. Neveuxe the population jump out of the current optimal solution, increase the diversity of the population, carry out multi direction search, and maintain the stability of the population, and ensure that the excellent information in the subpopulation will not be lost. The experimental results of the typica低三下四之人 发表于 2025-3-23 18:25:01
H. O’Kane,D. Gladstone,L. Hamilton,I. Galvin,I. Clelande the population jump out of the current optimal solution, increase the diversity of the population, carry out multi direction search, and maintain the stability of the population, and ensure that the excellent information in the subpopulation will not be lost. The experimental results of the typica松果 发表于 2025-3-24 01:25:20
D. N. Campbell,C. Madigan,D. R. Clarkecoverage optimization; Secondly, it applied the method of control variables, comparison and analysis of the influence on the various operations and parameters selection in evolution algorithm on the optimization results and performance, and then point out how to design algorithm to manage to the besFriction 发表于 2025-3-24 03:04:57
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K. Kawazoe,T. Fujita,F. Yamamoto,S. Takeuchi,N. Fujii,H. Manabeperiments using Iris, Wine, Seed, Breast-w4 group of UCI public data sets show that the accuracy obtained by the TPSO algorithm implementing the proposed K-means and FCM is statistically significantly higher than the accuracy of the other clustering algorithms, such as K-means algorithm, fuzzy C-meaHEPA-filter 发表于 2025-3-25 00:39:56
I. Gandjbakhch,V. Bors,M. Fontanel,A. Pavie,C. Cabrol,A. Cabrolperiments using Iris, Wine, Seed, Breast-w4 group of UCI public data sets show that the accuracy obtained by the TPSO algorithm implementing the proposed K-means and FCM is statistically significantly higher than the accuracy of the other clustering algorithms, such as K-means algorithm, fuzzy C-mea