Hybrid Quantum Salp Swarm Algorithm for Contrast Enhancement of Natural Images
Gehad Ismail Sayed, Ghada Ahmed Khoriba, Mohamed H. Haggag · International journal of intelligent engineering and systems · 2019
This paper proposes a new hybrid approach based on quantum computing and SSA to boost the performance of SSA through finding the optimal trade-off between exploitation and exploration.QSSA relies on embedding the integration of the quantum operators and interference in the optimization process of SSA and the quantum representation of the search space.QSSA is tested on 29 global benchmark functions of CEC2017 and 8 benchmark images.The simulation results showed that employing the principles of quantum can significantly boost the performance of SSA.The performance of QSSA is compared with SSA and other recent and well-known optimization algorithms.The results on CEC2017 demonstrated the capability of QSSA to find the global optima for most of unimodal and multimodal benchmark functions, especially with complex search space.Moreover, the results revealed that the proposed image enhancement based QSSA is robust and can distinctly enhance the contrast of the color images.