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A new fusion of salp swarm with sine cosine for optimization of non-linear functions

Author

Listed:
  • Narinder Singh

    (RGU - RGU)

  • Le Hoang Son
  • Francisco Chiclana
  • Jean-Pierre Magnot

    (LAREMA - Laboratoire Angevin de Recherche en Mathématiques - UA - Université d'Angers - CNRS - Centre National de la Recherche Scientifique)

Abstract

No abstract is available for this item.

Suggested Citation

  • Narinder Singh & Le Hoang Son & Francisco Chiclana & Jean-Pierre Magnot, 2020. "A new fusion of salp swarm with sine cosine for optimization of non-linear functions," Post-Print hal-02497137, HAL.
    • Handle: RePEc:hal:journl:hal-02497137
    DOI: 10.1007/s00366-018-00696-8
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    Citations

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    Cited by:

    1. Mousumi Banerjee & Vanita Garg & Kusum Deep, 2023. "Solving structural and reliability optimization problems using efficient mutation strategies embedded in sine cosine algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 307-327, March.
    2. Shahad Ibrahim Mohammed & Nazar K. Hussein & Outman Haddani & Mansourah Aljohani & Mohammed Abdulrazaq Alkahya & Mohammed Qaraad, 2024. "Fine-Tuned Cardiovascular Risk Assessment: Locally Weighted Salp Swarm Algorithm in Global Optimization," Mathematics, MDPI, vol. 12(2), pages 1-39, January.
    3. Laith Abualigah & Ali Diabat & Davor Svetinovic & Mohamed Abd Elaziz, 2023. "Boosted Harris Hawks gravitational force algorithm for global optimization and industrial engineering problems," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2693-2728, August.
    4. Tawhid, Mohamed A. & Ibrahim, Abdelmonem M., 2022. "Improved salp swarm algorithm combined with chaos," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 113-148.
    5. Örnek, Bülent Nafi & Aydemir, Salih Berkan & Düzenli, Timur & Özak, Bilal, 2022. "A novel version of slime mould algorithm for global optimization and real world engineering problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 198(C), pages 253-288.
    6. Mohammed Qaraad & Abdussalam Aljadania & Mostafa Elhosseini, 2023. "Large-Scale Competitive Learning-Based Salp Swarm for Global Optimization and Solving Constrained Mechanical and Engineering Design Problems," Mathematics, MDPI, vol. 11(6), pages 1-46, March.

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