Quantum Henry gas solubility optimization algorithm for global optimization

Mohammadi, Davood, Abd Elaziz, Mohamed, Moghdani, Reza, Demir, Emrah ORCID: https://orcid.org/0000-0002-4726-2556 and Mirjalili, Seyedali 2022. Quantum Henry gas solubility optimization algorithm for global optimization. Engineering with Computers 38 , pp. 2329-2348. 10.1007/s00366-021-01347-1

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Springer
ISSN:	1435-5663
Date of First Compliant Deposit:	10 February 2021
Date of Acceptance:	9 February 2021
Last Modified:	25 Nov 2024 09:00
URI:	https://orca.cardiff.ac.uk/id/eprint/138399

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