Suchergebnisse - "dwarf mongoose optimization algorithm (DMOA)"

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  1. 1

    Combinatorial test case prioritization using hybrid Energy Valley Dwarf Mongoose Optimization approach von Kanagaraj, Kamaraj, Nithiyanandam, Prasath, Sekar, Saradha, Shanmugam, Sangeetha

    ISSN: 0957-4174
    Veröffentlicht: Elsevier Ltd 01.05.2025
    Veröffentlicht in Expert systems with applications (01.05.2025)
    “… Combinatorial Test Case Prioritization is a technique used in software testing to improve the efficiency and effectiveness of test suites. It involves …”
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  2. 2

    Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment von Baskar, R., Mohanraj, E., Saradha, M., Monika, R.

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 07.01.2025
    Veröffentlicht in Scientific reports (07.01.2025)
    “… The fog computing paradigm is better for creating delay-sensitive applications in Internet of Things (IoT). As the fog devices are resource constrained, the …”
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  3. 3

    A Normal Distributed Dwarf Mongoose Optimization Algorithm for Global Optimization and Data Clustering Applications von Aldosari, Fahd, Abualigah, Laith, Almotairi, Khaled H.

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: Basel MDPI AG 01.05.2022
    Veröffentlicht in Symmetry (Basel) (01.05.2022)
    “… As data volumes have increased and difficulty in tackling vast and complicated problems has emerged, the need for innovative and intelligent solutions to …”
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    Journal Article
  4. 4

    Time series prediction with transformer neural network optimized by IFE and hunger-driven DMOA von Zheng, Shixing, Ma, Suyang, Jin, Xu

    ISSN: 1386-7857, 1573-7543
    Veröffentlicht: New York Springer US 01.10.2025
    Veröffentlicht in Cluster computing (01.10.2025)
    “… This study proposes an enhanced Dwarf Mongoose Optimization Algorithm(DMOA) that integrates an Intuitionistic Fuzzy Entropy Perturbation Convergence Factor and …”
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