Stochastic stability of particle swarm optimisation

@article{Erskine2017StochasticSO,
  title={Stochastic stability of particle swarm optimisation},
  author={Adam Erskine and Thomas Joyce and J. Michael Herrmann},
  journal={Swarm Intelligence},
  year={2017},
  volume={11},
  pages={295-315}
}
Particle swarm optimisation (PSO) is a metaheuristic algorithm used to find good solutions in a wide range of optimisation problems. The success of metaheuristic approaches is often dependent on the tuning of the control parameters. As the algorithm includes stochastic elements that effect the behaviour of the system, it may be studied using the framework of random dynamical systems (RDS). In PSO, the swarm dynamics are quasi-linear, which enables an analytical treatment of their stability. Our… CONTINUE READING
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