Showing 441 - 460 results of 2,518 for search 'optimal computing algorithms', query time: 0.14s Refine Results
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    Opposition-based chaotic evolution for optimization by Tianshui Li, Yan Pei

    Published 2025-07-01
    “…Abstract Evolutionary computation algorithms are widely used for solving complex optimization problems, but their practical performance is often hindered by high computational costs and premature convergence. …”
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    Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

    Published 2025-08-01
    “…This algorithm utilizes three distinct mutation strategies and integrates an external archiving mechanism to optimize both the number and locations of UAV Task Points (TPs). …”
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    Article
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    Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

    Published 2025-07-01
    “…Abstract The present paper provides a novel hybrid computational framework that integrates Computational Fluid Dynamics (CFD) with advanced machine learning techniques to optimize solar thermal collectors employing micro-heat pipe arrays (MHPA) for food dehydration applications. …”
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    Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm by Zainab Hadi-Saleh, Mohammad Mosleh, Mohamed Adel Al-Shahe, Mahdi Mosleh

    Published 2025-07-01
    “…Using the ergodicity of the HBA, along with chaotic mechanisms and global convergence, this approach encodes and optimizes the weights and thresholds of a BPNN. Initially, a comprehensive optimal solution is obtained through the honey badger algorithm. …”
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    Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

    Published 2025-07-01
    “…Finally, the crayfish optimization algorithm (COA) adjusts the VAE model’s hyperparameter values, improving classification. …”
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  13. 453

    A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

    Published 2025-07-01
    “…Artificial Intelligence continues to demand robust and adaptable training methods for neural networks, particularly in scenarios involving limited computational resources or noisy, complex data. This study presents a comparative analysis of four training algorithms, Backpropagation, Genetic Algorithm, Black-hole Algorithm, and Particle Swarm Optimization, evaluated across both classification and regression tasks. …”
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    Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

    Published 2025-06-01
    “…Through extensive computational experiments, we compare our method against well-known strip packing heuristics, including MaxRects and Skyline-based algorithms. …”
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    Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm by Jing Chen, Hao Jiang

    Published 2018-01-01
    “…To obtain a flat gain spectrum, DE algorithm is employed to find the optimal wavelengths and powers of pumps. …”
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