The Study of Two New Properties of Quantum Behaved Particle Swarm Optimization
Yuan Chen · Journal of Information and Computational Science · 2014
In this paper, inspired by the efficient global convergence of Quantum Behaved Particle Swarm Optimization (QPSO) which is hardly existence for most evolutionary optimization techniques, we test QPSO algorithm and w Particle Swarm Optimization (wPSO) algorithm on several unimodal functions and several multimodal functions. The experimental results show that QPSO algorithm with good convergence and stability. For the more, we conclude two new properties of QPSO algorithm which are not correct for wPSO algorithm.