Chaotic particle swarm optimization with an intensive search around the personal and global bests

@article{Tatsumi2012ChaoticPS,
  title={Chaotic particle swarm optimization with an intensive search around the personal and global bests},
  author={Keiji Tatsumi and Takeru Ibuki and Tetsuzo Tanino},
  journal={2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2012},
  pages={1333-1338}
}
The particle swarm optimization method (PSO) is a population-based optimization technique. Since, in the PSO, the exploration ability is important to find a desirable solution, various kinds of methods have been investigated to improve it. In this paper, we propose a PSO with a new chaotic system derived from the steepest descent method for a virtual quartic objective function with perturbations having global minima at the personal and global bests obtained by particles so far, where elements… CONTINUE READING