Showing 1,161 - 1,180 results of 2,171 for search 'Local research algorithm', query time: 0.14s Refine Results
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    Forgetful Swarm Optimization for Astronomical Observation Scheduling by Nariman Nakhjiri, Maria Salamo, Miquel Sanchez-Marre, Christian Blum, Juan Carlos Morales

    Published 2024-01-01
    “…FSO combines local optimization, Destroy and Repair, and Swarm Intelligence methodologies to create a flexible and scalable global optimization algorithm to handle the challenges of AOS. …”
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    Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning by Balasubramaniam S, Seifedine Kadry, Rajesh Kumar Dhanaraj, Satheesh Kumar K

    Published 2024-12-01
    “…As a result, it needs an algorithm to create a series of output words and understand the relations between textual and visual elements. …”
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  8. 1168

    Timelike-bounded dS 4 holography from a solvable sector of the T 2 deformation by Eva Silverstein, Gonzalo Torroba

    Published 2025-03-01
    “…To accurately capture local bulk excitations of dS 4 including gravitons, we build a deformation algorithm in direct analogy to the case of dS 3 with bulk matter recently proposed in [2]. …”
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  9. 1169

    Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

    Published 2024-01-01
    “…Therefore, autonomous UAVs have attracted significant research interest, where most of the existing autonomous navigation algorithms suffer from long computation time and unsatisfactory performance. …”
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    Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

    Published 2021-01-01
    “…From the test results, it can be seen that the algorithm is not easy to fall into the local optimum. …”
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  14. 1174

    Coordinated Scheduling for Zero-Wait RGV/ASR Warehousing Systems with Finite Buffers by Wenbin Gu, Na Tang, Lei Wang, Zhenyang Guo, Yushang Cao, Minghai Yuan

    Published 2025-06-01
    “…Additionally, in 15 randomized test scenarios, AMHS demonstrated superior performance over three benchmark algorithms—Genetic Algorithm (GA), Discrete Imperialist Competitive Algorithm (DICA), and Improved Whale Optimization Algorithm (IWOA)—achieving an average makespan reduction of 12.6% relative to GA.…”
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  15. 1175

    Application Scheduling in Mobile Cloud Computing with Load Balancing by Xianglin Wei, Jianhua Fan, Ziyi Lu, Ke Ding

    Published 2013-01-01
    “…Under various circumstances, researchers have put forward several MCC architectures. …”
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  16. 1176

    The development of a disruption responsive smart room technology with attendance management system by Jennifer P. Juaneza

    Published 2023-03-01
    “…The technology needs to be linked to a network and the internet in order to function as intended. The researcher used Developmental Research in this study and utilized the Agile Methodology, which includes all of its phases. …”
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  17. 1177

    Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

    Published 2025-05-01
    “…Most existing models rely on Support Vector Machine (SVM), which has limitations including low convergence accuracy, unbalanced optimization, and a tendency to get stuck in local optima. MethodsTo address these issues, Multi-Way Improved Whale Optimization Algorithm (MWIWOA) was proposed to optimize the SVM-based prediction model for the internal corrosion rate of long-distance submarine pipelines. …”
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    Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

    Published 2024-01-01
    “…With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm. In response to the fact that whale optimization algorithms are prone to falling into local optima and the identification of important Hammerstein models ignores the issue of noise outliers in actual industrial environments, this study improves the whale algorithm and constructs a Hammerstein model identification strategy for nonlinear systems under heavy-tailed noise using the improved whale algorithm. …”
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