Global Optimization of Electromagnetic Devices Using an Exponential Quantum-Behaved Particle Swarm Optimizer

Particle swarm optimization is a population-based swarm intelligence algorithm based on the simulation of a social psychological metaphor instead of the survival of the fittest individual paradigm. Inspired by the classical particle swarm method and quantum mechanics theories, this work presents a new quantum-behaved approach using a mutation operator with exponential probability distribution. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in electromagnetics, namely the TEAM workshop benchmark problem 22.