An Adaptive Particle Swarm Algorithm for Unconstrained Global Optimization of Multimodal Functions

@inproceedings{Jiang2017AnAP,
  title={An Adaptive Particle Swarm Algorithm for Unconstrained Global Optimization of Multimodal Functions},
  author={P. Jiang and Xiao Liu and C. A. Shoemaker},
  booktitle={ICMLC},
  year={2017}
}
Conventional Particle Swarm Optimization (PSO) algorithms often suffer premature convergences. Hybrid algorithms, for instance, the Simulated Annealing-based PSO, present low convergence speeds. In this paper, we develop an Adaptive Particle Swarm Optimization (APSO) algorithm to solve unconstrained global optimization problems with highly multimodal functions, in which two adaptive strategies (including an adaptive inertia weight strategy with hybrid time-varying dynamics and an adaptive… CONTINUE READING

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