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2202
Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm
Published 2025-06-01“…The ABC-PSO hybrid algorithm converges very quickly to optimal solutions in 10 to 40 iterations and outperforms five state-of-the-art optimizers with a 100 % success rate for the IEEE 14-bus system and a mean computation time of 0.041 s per iteration. …”
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2203
Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network
Published 2017-01-01“…Through comparison,it is found that the BP neural network model optimized by shuffled frog leaping algorithm can avoid making it fall into local optimum,reduce the training time and improve the training accuracy during the training of the network,and have several advantages,such as relatively higher convergence rate and ability to accurately diagnose.Through a series of training and testing,the results show that this approach can improve the accuracy and reliability of fault diagnosis.…”
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2204
Optimization of Dynamic Vibration Absorber on Ambulance Stretchers Using the Genetic Algorithm Method Based on ISO 2631 Standards
Published 2025-02-01“…The optimization of parameters such as the distance between the stretcher’s center of gravity and the DVA, spring constants, damping coefficients, and mass is carried out using a genetic algorithm (GA). …”
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2205
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2206
A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs)
Published 2025-01-01“…However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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2207
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2208
An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model
Published 2025-07-01“…Utilizing swarm intelligence, the Adaptive Grey Wolf Optimization Algorithm (AGWOA) was presented to reduce the time difficulty and choose the key characteristics. …”
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2209
GAGAN: Enhancing Image Generation Through Hybrid Optimization of Genetic Algorithms and Deep Convolutional Generative Adversarial Networks
Published 2024-12-01“…In this paper, we propose a novel hybrid optimization method that integrates Genetic Algorithms (GAs) to improve the training process of Deep Convolutional GANs (DCGANs). …”
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2210
An Efficient Multisensor Hybrid Data Fusion Approach Based on Artificial Neural Networks and Particle Swarm Optimization Algorithms
Published 2024-01-01“…The preprocessing stage of data is also included in the suggested technique, which starts with the design of the data-collecting device and ends with a hybrid model algorithm. Particle swarm optimization and artificial neural network methods are combined in the hybrid algorithm. …”
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2211
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2212
Study on PID gain parameter optimization for a quadcopter under static wind turbulence using bio-inspired algorithms
Published 2025-02-01“…This study solves this problem using Bio-inspired algorithms to tune the controller gain. To determine the required PID controller gain parameters this paper utilizes a Simulink model of a quadcopter combined with the particle swarm optimization (PSO) algorithm and the cuckoo search algorithm (CSA) optimization respectively to minimize error in the attitude rate. …”
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2213
Optimal sizing and siting of energy storage systems based on power grid vulnerability analysis: a trilevel optimization model
Published 2025-05-01“…The middle-level employs an improved particle swarm optimization algorithm to determine the optimal capacity and power configuration of BESS, aiming to maximize its equivalent annual revenue. …”
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2214
Parametric-modeling-based multi-objective thermoelastic optimization of rudder structures
Published 2025-01-01“…By leveraging commercial software and established optimization algorithms, this method can be adapted to other thermoelastic optimization challenges through refinements such as parametric modeling and multi-objective optimization functions. …”
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2215
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Optimal Configuration of Additional Heat Source for CHP System considering Demand Response Based on Comprehensive Benefits
Published 2024-01-01“…Furthermore, an improved memetic algorithm (IMA) combined with a hierarchical sequence method is designed to solve the optimization model characterized by multiple objectives, hierarchical levels, and nonlinearity. …”
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2217
Automatic Generation Technology of Safety Measures for Digital Substation Based on Improved Support Vector Machine
Published 2023-08-01“…Firstly, construct a secondary circuit model and equipment model based on adjacency matrix, and further integrate the secondary security measure rule library to form a sample dataset; Secondly, support vector machines were used to classify secondary security measures, and bacterial foraging algorithms were introduced to optimize penalty factors and kernel parameters, effectively improving the training effectiveness of the automatic generation model for security measures; Finally, the effectiveness of the proposed method was verified through numerical examples.…”
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2218
Mathematical model of on-demand route formation for public transport based on individual passenger requests in low-density population area
Published 2025-01-01“…Route optimization was performed using dynamic programming algorithms that accounted for variable demand structure and resource limitations. …”
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2219
A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance
Published 2025-01-01Get full text
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2220
Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction
Published 2025-03-01“…For structured text data, support vector regression (SVR) models optimized using the Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA) were utilized to predict apple ripeness, with the WOA-optimized SVR demonstrating exceptional generalization capabilities. …”
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