Showing 241 - 260 results of 1,434 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm loss function ))))', query time: 0.48s Refine Results
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    Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

    Published 2025
    “…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”
  3. 243

    Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

    Published 2025
    “…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”
  4. 244

    Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

    Published 2025
    “…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”
  5. 245

    Multi-algorithm comparison figure. by Dawei Wang (471687)

    Published 2025
    “…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
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    Algorithm schematic diagram of the CSM module. by Huiying Zhang (200681)

    Published 2025
    “…Additionally, three innovative loss functions—focalerDIoU, focalerGIOU and focalerShapeIoU are proposed to reduce losses during the training process. …”
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