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221
Dynamic Reactive Power Optimization Strategy for AC/DC Hybrid Power Grid Considering Different Wind Power Penetration Levels
Published 2024-01-01“…Considering the nonlinearity and non-convexity of the optimization model, trajectory sensitivity method and whale optimization algorithm are adopted to enhance the solution efficiency. …”
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222
Extraction of the Optimal Parameters of Single-Diode Photovoltaic Cells Using the Earthworm Optimization Algorithm
Published 2024-05-01“…Furthermore, the outcomes obtained via the EOA are contrasted with those derived from other algorithms, namely gray wolf optimizer (GWO), whale optimization algorithm (WOA), sine cosine algorithm (SCA), moth–flame optimization (MFO), ant lion optimizer (ALO), and multiverse optimizer (MVO). …”
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223
A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
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224
Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization
Published 2025-01-01“…Three improved binary Grey Wolf Optimization (GWO) approaches are proposed in this paper to optimize the feature selection process by enhancing the feature selection accuracy while selecting the least possible number of features. …”
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225
Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm
Published 2025-09-01“…Dynamic path planning seeks to find an optimal path for AUVs from a start point to the target while avoiding collisions with moving obstacles. …”
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226
Multi-Objective Optimization of Speed Profile for Railway Catenary Maintenance Vehicle Operations Based on Improved Non-Dominated Sorting Genetic Algorithm III
Published 2025-04-01“…The implementation of pre-optimized speed profiles significantly reduces the energy consumption while improving key operational performance metrics, such as ride comfort, punctuality, and safety. …”
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227
A Rapid Convex Programming Method for Air-to-Air Missile Trajectory Based on Improved Trust-Region Algorithm
Published 2025-06-01“…Aiming at the shortcomings of traditional guidance laws for air-to-air missiles in handling multiple nonlinear constraints during the mid-course guidance, this paper proposes an optimization method for mid-course guidance trajectory using sequential convex programming (SCP), and designs an improved trust-region algorithm to enhance the convergence performance of the optimization. …”
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228
Road damage detection based on improved YOLO algorithm
Published 2025-08-01“…The dual-branch attention mechanisms enhance feature representation in channel and spatial dimensions, while the GIoU loss optimizes bounding box regression—yielding notable improvements, particularly in small object detection and bounding box localization accuracy. …”
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229
Research of the Parameter Comprehensive Optimization of Excavator Working Device based on the Hybrid Optimization Algorithm
Published 2016-01-01“…The efficiency and accuracy of the solution is improved for the advantages of two algorithms are effectively combined and local optimal solution is avoided. …”
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230
Optimization method of obstacle avoidance path for dual-arm cooperative robot based on machine vision
Published 2025-05-01“…The motion model of the robot is analyzed, and a fitness function for the obstacle avoidance path is constructed. An improved bat algorithm is employed to optimize the obstacle avoidance path of the dual-arm cooperative robot, ultimately yielding the optimal path. …”
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231
Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm
Published 2025-05-01“…Finally, the Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to optimize the urea injection volume for all conditions. …”
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232
Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering
Published 2024-05-01“…Separate optimization of weighting processing for each frequency channel can significantly improve the average efficiency characteristics of a multichannel Doppler filter and eliminate all the shortcomings of the classical and modified FFT algorithms when processing non-equidistant pulse sequences. …”
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233
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Optimal Placement of Phasor Measurement Unit in Electrical Grid Using Dingo Optimization Algorithm
Published 2025-05-01“…The study utilizes the Dingo Optimization Algorithm, a metaheuristic inspired by nature, to identify the best PMU placement. …”
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235
Fast autoscaling algorithm for cost optimization of container clusters
Published 2025-05-01“…The main motivation for the development of FCMA has been to significantly reduce the solving time of the resource allocation problem compared to a previous state-of-the-art optimal Integer Linear Programming (ILP) model. In addition, FCMA addresses secondary objectives to improve fault tolerance and reduce container and virtual machine recycling costs, load-balancing overloads and container interference. …”
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236
A new human-based offensive defensive optimization algorithm for solving optimization problems
Published 2025-04-01“…Abstract A novel human-inspired metaheuristic algorithm, termed Offensive Defensive Optimization, has been introduced to address single-objective optimization problems. …”
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237
Multi-strategy collaborative optimization of gravitational search algorithm
Published 2025-08-01“…The performance analysis results show that the multi-strategy collaborative optimization method effectively leverages both the global and local search abilities of the algorithm, improving the accuracy of its solutions and stability. …”
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238
An optimal L∞-PLA algorithm for trajectory data compression
Published 2024-09-01“…MDisPLA used a divide-and-conquer strategy to extend the one-dimensional optimal PLA algorithm for optimizing compression of multi-dimensional trajectory data. …”
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239
Research on Bearing Fault Diagnosis Method Based on MESO-TCN
Published 2025-06-01“…A kernel-extended temporal convolutional network (ETCN) is designed with multi-scale dilated convolution to extract diverse temporal fault patterns. Furthermore, an improved whale optimization algorithm incorporating a firefly-inspired mechanism is introduced to adaptively optimize key hyperparameters. …”
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240
Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems
Published 2025-01-01“…Using Lyapunov stability theory and stochastic analysis, sufficient conditions are derived in the form of linear matrix inequalities to obtain estimator and control gains. Furthermore, the whale optimization algorithm combined with the distributed state estimation scheme is employed to optimally adjust the weighting values of individual state estimates, thereby reducing estimation error. …”
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