Working time of different processes (<i>h</i>). حسب Dawei Wang (471687)

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Pseudocode of IHWGWO. حسب Dawei Wang (471687)

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Vehicle-related parameters. حسب Dawei Wang (471687)

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Device parameter list. حسب Dawei Wang (471687)

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The process of IHWGWO. حسب Dawei Wang (471687)

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The computational results of the case. حسب Dawei Wang (471687)

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Convergence curves for the applied algorithms. حسب Eslam Hamouda (5172083)

Details of multiple GWO algorithm variants. حسب Genliang Li (5816264)

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The average running time of all competing algorithms. حسب Genliang Li (5816264)

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Boxplots of classification error rates for all algorithms. حسب Genliang Li (5816264)

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Boxplots of feature subset size for all algorithm. حسب Genliang Li (5816264)

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Optimized unbalanced train operation chart. حسب Zhipeng Huang (1759759)

"…Using the Lanzhou-Xi’an high-speed railway corridor as a case study, we apply a genetic algorithm combined with a nested Frank-Wolfe method to solve the model. …"

Metaheuristic algorithms for solving DNA-related problems. حسب Eslam Hamouda (5172083)

Algorithm for generating hyperparameter. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Flowchart of marine predator algorithm. حسب Ahmed A. Zaki Diab (12757190)

"…The key implications of integrating RDGs include the improvement of voltage profiles and the minimization of power losses. Various optimization techniques, namely Salp Swarm Algorithm (SSA), Marine Predictor Algorithm (MPA), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Seagull Optimization Algorithm (SOA), have been applied to achieve optimal allocation and sizing of RDGs in radial distributed systems (RDS). …"

A comparison of with other published cancer prediction algorithms. حسب Ruiyu Zhan (21602031)

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Results of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Performance results of YOLO v10 versions on arson dataset. حسب Ali Abbas Abbod (22386097)

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Pairwise T-test results comparing the proposed GWO-BBOA with PSO, GWO, and BBOA. حسب Ali Abbas Abbod (22386097)

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Parameters selected. حسب Ali Abbas Abbod (22386097)

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