Suchergebnisse - self‐adaptive coyote optimization algorithm

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  1. 1

    Network energy optimization and intelligent routing in WSN applicable for IoT using selfadaptive coyote optimization algorithm von Naveen, G., Prathap, P. M. Joe

    ISSN: 1074-5351, 1099-1131
    Veröffentlicht: Chichester Wiley Subscription Services, Inc 01.06.2023
    Veröffentlicht in International journal of communication systems (01.06.2023)
    “… ‐adaptive coyote optimization algorithm (SA‐COA) is used for the DN selection and CCH selection …”
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    Journal Article
  2. 2

    Energy-Efficient Routing in Underwater Wireless Sensor Networks Through Cluster-Dragonfly Optimization von D, Anitha, Husain, Saif O., Velpula, Srikanth, N, Rajani, Dineshkumar, R.

    Veröffentlicht: IEEE 26.04.2024
    “… of the algorithm may be limited when dealing with high-dimensional or complex optimization. Although the proposed CDFO method exhibits high performance compared to existing methods, such as Self-Adaptive Glow Worm Swarm Optimization (SA-GWO …”
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    Tagungsbericht
  3. 3

    Improved Metaheuristic Algorithms for Optimal Parameters Selection of Proton Exchange Membrane Fuel Cells: A Comparative Study von Abdel-Basset, Mohamed, Mohamed, Reda, Abdel-Fatah, Laila, Sharawi, Marwa, Sallam, Karam M.

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2023
    Veröffentlicht in IEEE access (2023)
    “… ), seagull optimization algorithm (SOA) and gradient-based optimizer (GBO) integrated with two newly-proposed effective strategies, namely self-adaptive strategy …”
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    Journal Article
  4. 4

    Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning von Ribeiro, Matheus, Stefenon, Stéfano, de Lima, José, Nied, Ademir, Mariani, Viviana, Coelho, Leandro

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: Basel MDPI AG 01.10.2020
    Veröffentlicht in Energies (Basel) (01.10.2020)
    “… Firstly, the coyote optimization algorithm is adopted to tune the hyperparameters of complementary ensemble empirical mode decomposition in the pre-processing phase …”
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