A hybrid particle swarm optimization approach with prior crossover differential evolution

@inproceedings{Xu2009AHP,
  title={A hybrid particle swarm optimization approach with prior crossover differential evolution},
  author={Wei Xu and Xingsheng Gu},
  booktitle={GEC Summit},
  year={2009}
}
Particle swarm optimization (PSO) is population-based heuristic searching algorithm. PSO has excellent ability of global optimization. However, there are some shortcomings of prematurity, low convergence accuracy and speed, similarly to other evolutionary algorithms (EA). To improve its performance, a hybrid particle swarm optimization is proposed in the paper. Firstly, the average position and velocity of particles are incorporated into basic PSO for concerning with the effect of the evolution… CONTINUE READING
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Improved Particle Swarm Optimization Combined with Chaos

  • Bo Liu, Ling Wang, Yi-Hui Jin
  • Chaos, Solitons and Fractal
  • 2005
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