Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system
Qi Kang, Lei Wang, Qidi Wu · International Journal of Bio-Inspired Computation · 2009
This paper presents a convergence analysis of particle swarm optimisation system by treating it as a discrete-time linear time-variant system firstly. And then, based on the results of system convergence conditions, dynamic optimal control of a deterministic PSO system for parameters optimisation is studied by using dynamic programming; and an approximate dynamic programming algorithm – swarm-based approximate dynamic programming (swarm-ADP) is proposed in this paper. Finally, numerical simulations proved the validated of this presented dynamic optimisation method.