Optimization of electromagnetic devices using a novel search based quantum particle swarm approach

Purpose This study aims to investigate the effectiveness of quantum particle swarm optimization (QPSO) algorithms in solving electromagnetic optimization problems. Design/methodology/approach An enhanced version of the quantum particle swarm approach is developed to solve electromagnetic optimization problems. Findings The enhanced QPSO methodology is a competent and strong global optimizer for optimizing electromagnetic devices. Furthermore, the experimental outcomes stated in different case studies validate the worth and effectiveness of the proposed approach, with a fast convergence behavior and high solution quality. Originality/value The proposed approach encompasses a novel strategy for determining the mean best position within a swarm. A mutation mechanism is used for a particle with the global best position. In addition, a novel parameter adaptation strategy is imposed to maintain the balance between exploration and exploitation searches.