Quantum Henry gas solubility optimization algorithm for global optimization
| Autor: | Seyedali Mirjalili, Emrah Demir, Reza Moghdani, Davood Mohammadi, Mohamed Abd Elaziz |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Mathematical optimization
Optimization algorithm Ideal gas law Computer science 0211 other engineering and technologies General Engineering 02 engineering and technology Space (mathematics) Computer Science Applications Gas phase 020303 mechanical engineering & transports 0203 mechanical engineering Modeling and Simulation Solubility Metaheuristic Global optimization Quantum Software 021106 design practice & management |
| ISSN: | 1435-5663 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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