Search alternatives:
based optimization » whale optimization (Expand Search)
laboratory based » laboratory values (Expand Search), laboratory data (Expand Search), laboratory tests (Expand Search)
yet optimization » art optimization (Expand Search), lead optimization (Expand Search), path optimization (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
based optimization » whale optimization (Expand Search)
laboratory based » laboratory values (Expand Search), laboratory data (Expand Search), laboratory tests (Expand Search)
yet optimization » art optimization (Expand Search), lead optimization (Expand Search), path optimization (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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The flowchart of the proposed algorithm.
Published 2024“…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models
Published 2020“…To reduce the manual tuning effort on optimal network architecture, a genetic algorithm is investigated to automatically search and configure the network architecture. …”
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The statistical description of the original data set of the patients (<i>n</i> = 162).
Published 2025Subjects: -
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Descriptive statistics of algorithms.
Published 2024“…Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
Published 2025Subjects: -
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Q-value of comparison of algorithms with WOA.
Published 2024“…Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”
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p-values of comparison of algorithms with WOA.
Published 2024“…Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …”
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
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The comparison of the accuracy score of the benchmark and the proposed models.
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: