A Quantum-Based Particle Swarm Optimization Algorithm Applied to Inverse Problems
S. L. Ho, Shiyou Yang, Guangzheng Ni, Jin Huang · IEEE Transactions on Magnetics · 2013
To balance exploration and exploitation searches in order to prevent premature convergences in Particle Swarm Optimization (PSO) algorithms, an improved Quantum-based PSO (QPSO) algorithm is proposed with an ultimate goal of preserving the simplicities of available QPSOs. The improvements include the design of diversification and intensification phases, searching mechanisms and a strategy to shift away from the worst solutions. The proposed QPSO are compared to available optimizers on two case studies to showcase its merits.