Henry Gas Solubility Optimizer

Mohammad Ehteram (), Akram Seifi () and Fatemeh Barzegari Banadkooki ()
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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

Chapter Chapter 5 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 49-53 from Springer

Abstract: 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.

Keywords: Optimization problem; Optimization algorithms; Global search; Local search (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9733-4_5

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DOI: 10.1007/978-981-19-9733-4_5

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