Showing 1,761 - 1,780 results of 8,683 for search 'optimal computing algorithms', query time: 0.22s Refine Results
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    Ranking data privacy techniques in cloud computing based on Tamir’s complex fuzzy Schweizer-Sklar aggregation approach by Jabbar Ahmmad, Hamiden Abd El-Wahed Khalifa, Hafiz Muhammad Waqas, Alhanouf Alburaikan, Taha Radwan

    Published 2025-07-01
    “…Abstract In the era of cloud computing, it has become an important challenge to secure data privacy by storing and processing massive amounts of sensitive information in shared environments. …”
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    Article
  3. 1763

    Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

    Published 2025-05-01
    “…In addition, by implementing the algorithm on the JAX framework for parallel computing, the computational efficiency was significantly enhanced, allowing the entire optimization process within 17.3 h. …”
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  4. 1764
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    Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

    Published 2025-01-01
    “…In the target recognition part, an improved EfficientDet algorithm is adopted as the main body, and the aspect ratio of anchor boxes in the algorithm is optimized using K-means clustering algorithm. …”
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    AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

    Published 2025-06-01
    “…The improvements in convergence characteristics and the ability to handle complex ocean currents highlight the algorithm's potential for practical applications. Future work will focus on further optimizing the computational efficiency of ISSA and exploring its application in more diverse and challenging underwater scenarios.…”
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    Article
  11. 1771

    Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework by Guangzhang Cui, Wei Zhang, Weiwei Xu, Hujun Bao

    Published 2025-08-01
    “…This paper addresses this challenge by proposing an Improved Multi-Objective Memetic Algorithm (IMOMA) that simultaneously optimizes energy consumption and makespan. …”
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    Study on the Optimized Production Scheduling of Polymetallic Mines Considering the Vehicle Routing Problem by Jianfu Luo, Taosuo Wu, Hongmei Bai, Hui Jie

    Published 2025-01-01
    “…Therefore, establishing an optimization model for this problem and designing algorithms to solve it have great significance in the theory of optimization algorithms and in production practices for polymetallic mining enterprises. …”
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    Decision Making Control Algorithm for Cogeneration Plants in Operating with the Heat Accumulator Deep Analysis Model by Varis Žentiņš, Dmitrijs Rusovs, Aleksandrs Soročins, Vera Kulakova

    Published 2022-04-01
    “…The role of modern computer systems is growing and greatly influences the optimal production planning process in cogeneration plants, regardless of the installed capacity and in the operation with heat accumulation. …”
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  18. 1778

    Improved artificial fish-swarm algorithm based on adaptive vision for solving the shortest path problem by Xian-min MA, IUN L

    Published 2014-01-01
    “…To solve basic artificial fish-swarm algorithm(AFSA)’s drawbacks of low convergence rate in the latter stage,a large amount of computation and easiness of trapping in local optimal solution,caused by the constant vision of the artificial fish,an improved artificial fish-swarm algorithm based on adaptive vision(AVAFSA) was proposed.The improved algorithm only adjusted the vision of the preying behavior of artificial fish to make the vision gradually decrease with the increase of the number of iterations of the algorithm.When the value became less than half the initial value,it made the value be equal to half the initial value.The proposed improved artificial fish swarm algorithm was applied to the static shortest path problem based on road network to provide customers with the best path.Simulation results depict the improved algorithm has higher convergence rate,a smaller amount of calculation,and is more accurate and stable than the basic AFSA and ant colony optimization(ACO).…”
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