Journal of Operational Research and Its Applications ( Applied Mathematics ) - Lahijan Azad University

In this research, a new method of quantum-inspired electromagnetic field algorithm is proposed to solve optimization problems. The electromagnetic field algorithm simulates the mechanism of absorption and repulsion between electromagnetic particles with different poles. The main idea of ​​this algorithm is to guide the electromagnetic particles to the global optimum by the forces of attraction and repulsion and the golden ratio. In the proposed algorithm, inspired by the quantum concepts and test charge strategy, changes have been made in the basic algorithm, which has led to improved performance of this algorithm. In the proposed algorithm, the concept of qubit is used and some of the particles are affected by the mutation using a quantum gate. Experimental results on 10 different standard functions show that the proposed algorithm has better performance than the basic algorithm and other proposed algorithms.