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.
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