بدائل البحث:
required optimization » guided optimization (توسيع البحث), resource optimization (توسيع البحث), feature optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data required » data acquired (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
required optimization » guided optimization (توسيع البحث), resource optimization (توسيع البحث), feature optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data required » data acquired (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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Features selected by optimization algorithms.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Adaptive exploration and exploitation method of Improved FOX optimization algorithm.
منشور في 2025الموضوعات: -
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Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Flowchart of GJO-GWO algorithm.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
منشور في 2019"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"