MODIFIED PARTICLE SWARM OPTIMIZATION FOR OPTIMIZATION PROBLEMS
Pengjun Zhao, Sanyang Liu, Cheng Guo · 2012
In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the proposed algorithm is compared with that of the PSO-TVIW. Simulation results demonstrate the effectiveness of the proposed algorithm.