Showing 1 - 16 results of 16 for search 'reptile research algorithm', query time: 0.09s Refine Results
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    Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

    Published 2025-09-01
    “…This study investigates the performance of three advanced deep learning models: Temporal Convolutional Network (TCN), Minimal Gated Unit (MGU), and Temporal Fusion Transformer (TFT), applied to one-day-ahead and three-day-ahead PV power forecasting. The Reptile Search Algorithm (RSA), a novel metaheuristic optimizer, is employed for hyperparameter tuning. …”
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    Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

    Published 2025-03-01
    “…To enhance predic-tive accuracy, two meta-heuristic algorithms, the Reptile Search Algorithm (RSA) and the Flow Direction Algorithm (FDA), are seamlessly integrated into the Adaptive Neuro-Fuzzy Inference System (ANFIS) model. …”
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    Application of Fuzzy System on Settlement of Shallow Footing on Granular Soil by Soroush Lesani

    Published 2023-12-01
    “…The proposed models integrate the reptile search algorithm (RSA) with support vector regression (SVR) analysis and adaptive neuro-fuzzy inference system (ANFIS). …”
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    Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

    Published 2025-07-01
    “…This paper introduces the parallel cooperative strategy reptile search algorithm (PC-RSA) for multi-robot path planning in such dynamic settings. …”
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    Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

    Published 2025-01-01
    “…To further enhance the predictive accuracy of these models, two meta-heuristic optimization techniques—Atom Search Optimization (ASO) and Reptile Search Algorithm (RSA)—are employed. The study presents three distinct models—GPAS, GPRS, and a standalone GPR model—each providing critical insights for accurate OMC prediction. …”
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    MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

    Published 2025-07-01
    “…Next, use the EfficientNetV2 approach to extract the features from the data, and then use the Reptile Search Algorithm (RSA) to choose the most significant features from the collected features. …”
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    A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

    Published 2025-01-01
    “…To deal with those challenges, we advocate a novel routing framework that is both steady and power-efficient, leveraging an Improved Type-2 Fuzzy Logic System (IT2FLS) optimized by means of the Reptile Search Algorithm (RSA). This modern framework employs weighted ensemble clustering and matched ensemble choice techniques, facilitating strong cluster formation and resulting in a substantial 98% development in community lifetime, an 80% enhancement in packet delivery ratio (PDR), and a 45% reduction in average power consumption while as compared to current protocols. …”
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