Crowding-Distance-Based multiobjective artificial bee colony algorithm for PID parameter optimization

Abstract

This work presents a crowding-distance(CD)-based multiobjective artificial bee colony algorithm for Proportional-Integral-Derivative (PID) parameter optimization. In the proposed algorithm, a new fitness assignment method is defined based on the nondominated rank and the CD. An archive set is introduced for saving the Pareto optimal solutions, and the CD is also used to wipe off the extra solutions in the archive. The experimental results compared with NSGAII over two test functions show its effectiveness, and the simulation results of PID parameter optimization verify that it is efficient for applications.