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101
Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN
Published 2025-02-01“…In this research, a novel approach has been proposed for enhancing the accuracy of proton exchange membrane fuel cell (PEMFC) models based on convolutional neural networks (CNNs) and an improved optimization method (called the improved pufferfish optimization algorithm). …”
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102
Optimal tuning of multi-PID controller using improved CMOCSO algorithm
Published 2024-11-01“…To mitigate synchronization errors within a multi-PID controller system and enhance its resistance to interference, an improved competitive and cooperative swarm optimizer for constrained multi-objective optimization (CMOCSO) algorithm is employed to optimize the parameters of the multi-PID controller. …”
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103
Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm
Published 2020-05-01“…Finally, the improved greedy search algorithm is used to solve the load combinatorial optimization model under different scenarios. …”
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104
Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm
Published 2022-10-01“…The simulation experiments with other four algorithms on 12 benchmark functions show that Issa improves the global optimal search ability and avoids the algorithm from falling into local optimization. …”
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105
NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM
Published 2022-01-01“…Then, the ENDE-NSGA-II method is adopted to complete the parameter optimization. By adoption of the NDX crossover algorithm, CA sorting method and DE strategy can increase the search interval, ensure the population diversification distribution, and improve the convergence rate. …”
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106
Spatial Layout Optimization in Urban Renewal Based on Improved NSGAII Algorithm
Published 2024-12-01“…A multi-objective optimization method based on the improved non-dominated sorting genetic algorithm II was proposed to address the problem of spatial layout optimization in urban renewal. …”
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107
Comparative Analysis of Convergence and Performance of Improved Northern Goshawk Optimization Algorithm
Published 2024-12-01“…In order to solve the problems of the northern goshawk optimization (NGO) algorithm, which quickly falls into local optimal, an improved northern goshawk optimization (INGO) algorithm is proposed in this paper. …”
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108
An Improved Coral Reef Optimization-Based Scheduling Algorithm for Cloud Computing
Published 2021-01-01“…In this paper, we establish a resource allocation framework and propose a novel task scheduling algorithm. An improved coral reef optimization (ICRO) is proposed to deal with this task scheduling problem. …”
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109
Pipeline corrosion rate prediction model using BP neural network based on improved sparrow search algorithm
Published 2024-07-01“…Methods This paper proposes a pipeline corrosion rate prediction model using an optimized BP neural network based on an improved Sparrow Search Algorithm to address the aforementioned disadvantages. …”
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110
Research on Thickness Error Optimization Method of Rolling System Based on Improved Sparrow Search Algorithm–Bidirectional Long Short-Term Memory Network–Attention
Published 2024-10-01“…Secondly, an improved sparrow search algorithm is used to search for the hyperparameters of the network to obtain better training results. …”
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111
Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II
Published 2025-02-01“…Given the complex modeling and numerous constraints faced by the production of prefabricated components, we propose an improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization. …”
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112
GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data
Published 2025-01-01“…In this paper, we introduce a Genetic Algorithm (GA) based Random Forest (RF) method, named GA4RF, to enhance the accuracy of fall detection models by optimizing their hyperparameters. …”
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113
Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm
Published 2025-05-01“…Finally, a case study in the South China Sea validates the effectiveness of the model and algorithm. Using the improved algorithm, the optimal layout of the co-generation system and the optimal wind turbine parameters are obtained. …”
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114
Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms
Published 2025-06-01“…Simulation results demonstrate that the proposed algorithm reduces the average path length by 15.4% and 7.5% compared to traditional genetic algorithm and particle swarm optimization, respectively, while improving computational efficiency by 45.5% and 16.8%.…”
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115
Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics
Published 2024-09-01“…<b>Objectives:</b> The primary objective of this study is to assess whether integrating autoencoder-derived features into traditional ML models can improve their performance in predicting tumor dynamics three months post-GKRS in patients with brain metastases. …”
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116
Optimization of Body Size and Centroid Position of the Quadruped Robot based on Improved Particle Swarm Optimization Algorithm
Published 2021-07-01“…Taking the quadruped robot as research object, a method to optimize body size and centroid position of the quadruped robot based on improved particle swarm optimization algorithm to enhance its stability is proposed. …”
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117
Smooth and Time-Optimal Trajectory Planning for Robots Using Improved Carnivorous Plant Algorithm
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118
Optimization of electric vehicle charging facility layout considering the enhancement of renewable energy consumption capacity and improvement of PSO algorithm
Published 2025-04-01“…To deal with the optimization model, the particle swarm optimization is adopted and improved in three aspects. …”
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119
Robot Calibration Sampling Data Optimization Method Based on Improved Robot Observability Metrics and Binary Simulated Annealing Algorithm
Published 2024-09-01“…By utilizing the least squares method, the ideal pose transformation relationship between the robot’s base coordinate system and the laser tracker measurement coordinate system is derived, resulting in an error calibration model based on spatial single points. An improved robot observability metric combined with the Binary Simulated Annealing Algorithm (BSAA) is introduced to optimize the selection of calibration sampling data. …”
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120
Illustration Design Model with Clustering Optimization Genetic Algorithm
Published 2021-01-01“…This paper proposes an illustration art design model based on operator and clustering optimization genetic algorithm. …”
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