An Improved Attractive and Repulsive Particle Swarm Optimization for Nonconvex Economic Dispatch Problems

:This paper presents an improved attractive and repulsive particle swarm optimization (ARPSO) algorithm for nonconvex economic dispatch problem. The ARPSO algorithm enhances the exploration and exploitation behaviors of a particle by observing a diversity factor. This paper develops an improved ARPSO by introducing a penalty factor that forces each particle to repulse from the global worst particle. The advantage of the improved ARPSO is demonstrated numerically in comparison with the basic PSO and other variation of ARPSO.