A Modified Adaptive Particle Swarm Optimization Algorithm

  title={A Modified Adaptive Particle Swarm Optimization Algorithm},
  author={Rui Sun},
  journal={2016 12th International Conference on Computational Intelligence and Security (CIS)},
Particle swarm optimization (PSO) is a heuristic stochastic evolutionary algorithm. However, standard PSO exists unbalanced exploitation and exploration, lower convergence speed. An improved technique is introduced into the standard PSO with adaptive computation of the inertia weights. After every iteration, a new competition with a random swarm is operated to jump out of the local optimum. Four benchmark functions are selected to test the validate of the constructed algorithm. The numerical… CONTINUE READING
5 Citations
5 References
Similar Papers


Publications referenced by this paper.
Showing 1-5 of 5 references

Particle swarm optimization with an aging leader and challengers

  • W NChen, J Zhang, Y Lin, al ea
  • IEEE Trans. On Evolutionary computation, vol. 17…
  • 2013
1 Excerpt

Particle swarm optimization

  • J Kennedy, R CEberhart
  • Proceedings of the 1995 IEEE international…
  • 1995
1 Excerpt

Similar Papers

Loading similar papers…