A note on the learning automata based algorithms for adaptive parameter selection in PSO

@article{Hashemi2011ANO,
  title={A note on the learning automata based algorithms for adaptive parameter selection in PSO},
  author={Ali B. Hashemi and Mohammad Reza Meybodi},
  journal={Appl. Soft Comput.},
  year={2011},
  volume={11},
  pages={689-705}
}
PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. In this paper, we study the ability of learning automata for adaptive PSO parameter selection. We introduced two classes of learning automata based algorithms for adaptive selection of value for inertia weight and acceleration coefficients. In the first class, particles of a swarm use the same parameter values adjusted… CONTINUE READING
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Particle swarm optimization

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