Quantum Henry gas solubility optimization algorithm for global optimization

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