Electromagnetism-Like Mechanism Algorithm with New Charge Formula for Optimization

The electromagnetism-like(EM) algorithm is a meta-heuristic optimization algorithm, which uses a novel searching mechanism called attraction-repulsion between charged particles. It is worth pointing out that there are two potential problems in the calculation of particle charge by the original EM algorithm. One of the problems is that the information utilization rate of the population is not high, and the other problem is the decline of population diversity when the population size is much greater than the dimension of the problem. In contrast, it is more fully to exploit the useful search information based on the proposed new quadratic formula for charge calculation in this paper. Furthermore, the population size was introduced as a new multiplier term to improve the population diversity. In the end, numerical experiments were used to verify the performance of the proposed method, including a comparison with the original EM algorithm and other well-known methods such as artificial bee colony(ABC), and particle swarm optimization(PSO). The results showed the effectiveness of the proposed algorithm.