An improved quantum particle swarm optimization applied to inverse problem in electromagnetics

Abstract

The development of global optimal techniques for inverse problems in electromagnetics has been successful in the last few years. However, inspired from the classical Particle Swarm Optimization (PSO) algorithm and quantum mechanics, this work presents an improved Quantum based particle swarm optimization (QPSO) by using a tournament selection strategy. Also, a new index, called Tbest (tournament best), is incorporated into the QPSO to further enhance its performance. The feasibility and merit of the proposed approach are verified by mathematic functions and an electromagnetic inverse problem.