Search alternatives:
whale optimization » swarm optimization (Expand Search)
binary task » binary mask (Expand Search)
based whale » based whole (Expand Search), baleen whale (Expand Search), based halide (Expand Search)
task based » risk based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
whale optimization » swarm optimization (Expand Search)
binary task » binary mask (Expand Search)
based whale » based whole (Expand Search), baleen whale (Expand Search), based halide (Expand Search)
task based » risk based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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General procedural flow of clustering algorithm.
Published 2024“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”
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Testing accuracy and performance metrics for different DTL models for every class.
Published 2024Subjects: -
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Random sample of dataset image with the testing accuracy for every image with different classes.
Published 2024Subjects: -
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The consumed time for Resnet50 and DeepDate model for (a) FS and training and (b) testing.
Published 2024Subjects: -
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IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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IRBMO vs. feature selection algorithm boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”