A Modified Algorithm of Bare Bones Particle Swarm Optimization

@inproceedings{Hsieh2010AMA,
  title={A Modified Algorithm of Bare Bones Particle Swarm Optimization},
  author={Horng-I Hsieh and Tian-Shyug Lee},
  year={2010}
}
Bare bones particle swarm optimization (PSO) greatly simplifies the particles swarm by stripping away the velocity rule, but performance seems not good as canonical one in some test problems. Some studies try to replace the sampling distribution to improve the performance, but there are some problems in the algorithm itself. This paper proposes a modified algorithm to solve these problems. In addition to some benchmark test functions, we also conducted an application of real-world time series… CONTINUE READING

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Bare Bones Particle Swarm Optimization With Scale Matrix Adaptation

  • IEEE Transactions on Cybernetics
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A revised bare bone particle swarm optimizer and its variant

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Bare bone particle swarm optimization with integration of global and local learning strategies

  • 2011 International Conference on Machine Learning and Cybernetics
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