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Grouping control of electric vehicles based on improved golden eagle optimization for peaking
Published 2025-04-01“…Second, the design of IGEO has improved the global exploration and local development capabilities of the golden eagle optimizer (GEO) algorithm. …”
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82
Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction
Published 2025-12-01“…The model's hyperparameters are optimized by the Improved Whale Optimization Algorithm (IWOA), which improves search efficacy by including chaotic mapping, a nonlinear shrinkage factor, and a Levy flight strategy. …”
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83
Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm
Published 2015-01-01“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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84
Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method
Published 2014-01-01“…To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. …”
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85
Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults
Published 2025-07-01“…The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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86
Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images
Published 2025-07-01“…In practical applications for detecting indistinct boundary planting holes within complex scenarios, our algorithm consistently outperforms other detection networks with exceptional precision (F1-score = 0.95), low computational cost, rapid detection speed, and robustness, thus laying a solid foundation for advancing precision agriculture.…”
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87
Improved Crosstalk Reduction on Multiview 3D Display by Using BILS Algorithm
Published 2014-01-01“…Furthermore, an improved crosstalk reduction method is proposed to alleviate crosstalk by searching for the optimal integral intensity values of subpixels on the synthetic image. …”
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88
A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation
Published 2025-01-01“…In this design, the CAMC algorithm is optimized to fit the FPGA characteristics to further improve the performance, and the computing demands of which could be saved over 94% compared with other state-of-the-art designs. …”
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89
An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem
Published 2012-01-01“…An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). …”
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90
Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method
Published 2024-01-01“…In this research, the improved nondominant sorting genetic algorithm is proposed to solve the problem, and the results of the proposed method are also compared with the conventional genetic and particle swarm optimization algorithms. …”
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91
Improved stereo matching network based on dense multi-scale feature guided cost aggregation
Published 2024-02-01“…To further improve the disparity prediction accuracy of stereo matching algorithm in the ill-posed regions such as repeating textures, no texture, and edge, an improved dense multi-scale feature guided aggregation network (DGNet) based on PSMNet was proposed. …”
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92
Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning
Published 2025-05-01“…The offline phase employs a novel Hybrid Crayfish Optimization and Self-Adaptive Differential Evolution Algorithm (COA-jDE) to minimize the cost function $$U_{offline}$$ , deriving optimal control parameters (Q, R) before real-time deployment. …”
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93
Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
Published 2025-03-01“…This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow prediction. …”
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An Improved Equilibrium Optimizer for Optimal Placement of Distributed Generators in Distribution Systems considering Harmonic Distortion Limits
Published 2022-01-01“…This paper proposes an improved equilibrium optimizer (IEO) for determining optimal location and effective size of distributed generation units (DGUs) in the distribution systems in order to minimize the total power loss on distribution branches, investment cost, and operation and maintenance cost. …”
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97
Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells
Published 2025-07-01“…We present the development of an algorithm designed to determine the most efficient trajectories for directional wells, a key method used in oil and gas extraction. …”
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98
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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Internet of Things Based Application Placement Technique in Fog Environment
Published 2025-05-01“…A pre-scheduling method is developed to efficiently allocate tasks by analyzing workflows to reduce computation delays and energy usage. Leveraging an Improved Memetic Algorithm (IMA), this strategy enables effective scheduling of parallel IoT workflows across fog and cloud servers, ensuring balanced resource utilization and enhanced scalability. …”
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