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Showing 181 - 200 results of 2,480 for search '(improved OR improve) ((coot OR cost) OR root) optimization algorithm', query time: 0.28s Refine Results
  1. 181

    Grouping control of electric vehicles based on improved golden eagle optimization for peaking by Yang Yu, Yuhang Huo, Shixuan Gao, Qian Wu, Mai Liu, Xiao Chen, Xiaoming Zheng, Xinlei Cai

    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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    Article
  2. 182

    UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm by Jong-Jin Shin, Hyochoong Bang

    Published 2020-01-01
    “…In addition, terrain masking, nonisotropic radar cross section (RCS), and dynamic constraints of UAV are considered to determine the cost of the path. An improved particle swarm optimization (PSO) algorithm is proposed for finding an optimal path. …”
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  3. 183

    Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm by Guo Zhao, Xueliang Huang, Hao Qiang

    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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    Article
  4. 184

    AC Optimal Power Flow Problem Considering Wind Energy by an Improved Particle Swarm Optimization by Mohammad Reza Ansari, Hossein Ramzaninezhad

    Published 2024-02-01
    “…To solve the AC-OPF model, an Improved Particle Swarm Optimization (IPSO) is presented. …”
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    Article
  5. 185

    Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method by Lijuan Zhang, Dongming Li, Wei Su, Jinhua Yang, Yutong Jiang

    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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    Article
  6. 186

    Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy by F. Laouafi

    Published 2025-01-01
    “…The aim of this paper is to present a new improved grey wolf optimizer (IGWO) to solve the optimal reactive power dispatch (ORPD) problem with and without penetration of renewable energy resources (RERs). …”
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    Article
  7. 187

    Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

    Published 2024-09-01
    “…The experimental results showed that adding MSDA at the small target layer in the Neck layer achieved the best effect, not only improving model performance but also maintaining low computational cost and model size, providing important references for the optimization of the MSDA mechanism. …”
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  8. 188

    Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

    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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  9. 189

    Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

    Published 2019-12-01
    “…In this article, we present an improved classification algorithm, which combines the simplicity of implementation and accuracy. …”
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    Article
  10. 190

    A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm by Zhongxu Tian, Sifan Hou, Xiaoxue Yue, Xuewen Hu

    Published 2025-06-01
    “…To address this issue, this paper proposes a lightweight detection method, YOLOv8-RFD, based on an improved YOLOv8 algorithm, tailored for clam sorting applications. …”
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  11. 191

    Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images by Kaiyuan Long, Shibo Li, Jiangping Long, Hui Lin, Yang Yin

    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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  12. 192

    A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation by Yuqin Zhao, Tiantai Deng, Bill Gavin, Edward A. Ball, Luke Seed

    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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  13. 193

    Integration of improved APF and RRT algorithms for enhanced path planning in mobile robotics by Yu Liangwu, Han Jianggui, Ma Boweng, Liu Bao, He Zhiying

    Published 2025-04-01
    “…Firstly, the mathematical model of the traditional APF algorithm was improved to solve the problems of unbalanced force and unreachable targets. …”
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  14. 194

    Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method by Majid Farjamipur, Hossein Lotfi, Mohammad Hassan Nikkhah

    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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  15. 195
  16. 196

    Improved stereo matching network based on dense multi-scale feature guided cost aggregation by ZHANG Bo, ZHANG Meiling, LI Xue, ZHU Lei

    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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  17. 197

    Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

    Published 2025-09-01
    “…Traditional optimization techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) often struggle with the nonlinear, high-dimensional nature of EV-grid interaction problems. …”
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  18. 198

    Optimizing grid-dependent and islanded network operations through synergic active-reactive power integration by Zohaib Hussain Leghari, Dalila Mat Said, Mazhar Baloch, Pervez Hameed Shaikh, Hafiz Mudassir Munir, Radomir Gono, Tomas Novak, Petr Moldrik

    Published 2024-12-01
    “…The first stage proposes an improved Jaya algorithm (IJaya) to optimize DG and SCB allocation during grid-connected operation, aiming to reduce power loss and improve voltage profiles. …”
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  19. 199

    Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

    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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  20. 200

    Availability and uncertainty-aware optimal placement of capacitors and DSTATCOM in distribution network using improved exponential distribution optimizer by Abdulaziz Alanazi, Mohana Alanazi, Zulfiqar Ali Memon, Ahmed Bilal Awan, Mohamed Deriche

    Published 2025-04-01
    “…The decision variables include the installation location and the capacity of compensators, which are defined by a novel meta-heuristic algorithm termed the improved exponential distribution optimizer (IEDO). …”
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