Nonlinear PSO—Convergence analysis and parameter adjustment schemes
Xuexue Zhao, Gang Wang · 2010
Linear parameter adjustment (LPA) schemes had been widely used in particle swarm optimization (PSO). In this paper, we develop a novel PSO algorithm with nonlinear parameter adjustment (NLPA) called nonlinear PSO and present its convergence analysis. Simulations on five standard test functions confirm the validity of the nonlinear parameter adjustment methods.