A novel PID-like particle swarm optimizer: on terminal convergence analysis

Abstract In this paper, a novel proportion-integral-derivative-like particle swarm optimization (PIDLPSO) algorithm is presented with improved terminal convergence of the dynamics. A derivative control term introduced into traditional (PSO) so as to alleviate overshoot problem during stage convergence. The velocity updated according past momentum, present positions (including personal best position and global position), future trend positions, thereby accelerating adjusting search direction jump out area around local optima. By using combination Routh stability criterion final value theorem Z -transformation, conditions are obtained for developed PIDLPSO algorithm. Finally, experiment results reveal superiority designed over several other state-of-the-art PSO variants in terms population diversity, searching ability rate.