بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm which » algorithm within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pre » algorithm pca (توسيع البحث), algorithm where (توسيع البحث), algorithm used (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm which » algorithm within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pre » algorithm pca (توسيع البحث), algorithm where (توسيع البحث), algorithm used (توسيع البحث)
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Standard benchmark functions.
منشور في 2025"…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …"
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Standard benchmark functions [42].
منشور في 2025"…In the experimental section, we validate the efficiency and superiority of LSWOA by comparing it with outstanding metaheuristic algorithms and excellent WOA variants. The experimental results show that LSWOA exhibits significant optimization performance on the benchmark functions with various dimensions. …"
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Ave and Std of different algorithms.
منشور في 2025"…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …"
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126
Parameter settings for metaheuristic algorithm.
منشور في 2025"…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …"
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Mean values of different benchmark functions.
منشور في 2025"…Proposed parent-centric real-coded crossover operators increase the precision and robustness of GAs, which is confirmed by empirical results on testing constrained and un-constrained benchmark functions having different complexity levels. …"