Quantum Henry gas solubility optimization algorithm for global optimization

Davood Mohammadi, Mohamed Abd Elaziz, Reza Moghdani, Emrah Demir, Seyedali Mirjalili

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

This paper proposes an improvement on the recently introduced Henry Gas Solubility Optimization (HGSO) metaheuristic algorithm that simulates Henry’s gas law (i.e., the concentration of a gas sample in a liquid solvent is proportional to the concentration of the sample in the gas phase). As an improvement, we apply quantum theory instead of the standard procedure used in the HSGO algorithm for updating solutions. The proposed algorithm is named as Quantum HGSO (QHGSO) algorithm in this paper. The suggested changes enhance the ability of HGSO to create a counterbalance between exploitation and exploration for a better investigation of the solution space. For evaluating the capability of finding the optimal solution of our proposed algorithm, a collection of forty-seven global optimization functions is solved. Moreover, three well-known engineering problems are studied to show the performance of the QHGSO algorithm in constrained optimization problems. Comparative results with other well-known metaheuristic algorithms have shown that the QHGSO algorithm outperforms others with higher computational performance.

Original languageEnglish
Pages (from-to)S2329-S2348
Number of pages20
JournalEngineering with Computers
Volume38
Issue numberSuppl 3
Early online date27 Mar 2021
DOIs
Publication statusPublished - 1 Aug 2022
Externally publishedYes

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