Multiple Particle Swarm Optimizers with Diversive Curiosity

@inproceedings{Zhang2010MultiplePS,
  title={Multiple Particle Swarm Optimizers with Diversive Curiosity},
  author={Hong Zhang},
  year={2010}
}
In this paper we propose a new method, called multiple particle swarm optimizers with diversive curiosity (MPSOα/DC), for improving the search performance of the convenient multiple particle swarm optimizers. It has three outstanding features: (1) Implementing plural particle swarms simultaneously to search; (2) Exploring the most suitable solution in a small limited space by a localized random search for correcting the solution found by each particle swarm; (3) Introducing diversive curiosity… CONTINUE READING

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Particle Swarm Optimization with Diversive Curiosity – An Endeavor to Enhance Swarm Intelligence

  • H. Zhang, M. Ishikawa
  • IAENG International Journal of Computer Science…
  • 2008
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