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algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm shows » algorithm allows (Expand Search), algorithm flow (Expand Search)
python function » protein function (Expand Search)
shows function » loss function (Expand Search)
algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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The results of the Friedman and Kruskal-Wallis tests for all algorithms at <i>D</i> = 30, 50, 100.
Published 2021Subjects: -
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The Wilcoxon’s rank-sum test results for all algorithms at <i>D</i> = 30, 50, 100.
Published 2021Subjects: -
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Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems
Published 2024“…The effectiveness of the proposed QOBL-ICA is verified by testing on 20 benchmark functions and 3 engineering design problems. Experimental results show that the performance of QOBL-ICA is superior to most state-of-the-art meta-heuristic algorithms in terms of global optimum reached and convergence speed.…”
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Effectiveness of LSWOA and other SOTA algorithms with <i>D</i>=30, 50 and 100.
Published 2025Subjects: -
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