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Henry Gas Solubility Optimizer

In: Application of Machine Learning Models in Agricultural and Meteorological Sciences

Author

Listed:
  • Mohammad Ehteram

    (Semnan University, Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering)

  • Akram Seifi

    (Vali-e-Asr University of Rafsanjan, Department of Water Science and Engineering, College of Agriculture)

  • Fatemeh Barzegari Banadkooki

    (Payame Noor University, Agricultural Department)

Abstract

This chapter explains the structure and mathematical model of the Henry gas solubility optimization (HGSO). Also, the different applications of HGSO are reviewed in other fields. The HGSO uses advanced operators for solving complex optimization problems. The HGSO can converge earlier than the other optimization algorithm. The HGSO had a high efficiency for solving multi-objective optimization problems. The HGSO also can be used for training soft computing models. The HGSO is a robust algorithm.

Suggested Citation

  • Mohammad Ehteram & Akram Seifi & Fatemeh Barzegari Banadkooki, 2023. "Henry Gas Solubility Optimizer," Springer Books, in: Application of Machine Learning Models in Agricultural and Meteorological Sciences, chapter 0, pages 49-53, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9733-4_5
    DOI: 10.1007/978-981-19-9733-4_5
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