GPU-Based Asynchronous Global Optimization with Particle Swarm

@inproceedings{Wachowiak2012GPUBasedAG,
  title={GPU-Based Asynchronous Global Optimization with Particle Swarm},
  author={Mark P. Wachowiak and Alexander E. Lambe Foster},
  year={2012}
}
The recent upsurge in research into general-purpose applications for graphics processing units (GPUs) has made low cost high-performance computing increasingly more accessible. Many global optimization algorithms that have previously benefited from parallel computation are now poised to take advantage of general-purpose GPU computing as well. In this paper, a global parallel asynchronous particle swarm optimization (PSO) approach is employed to solve three relatively complex, realistic… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-6 of 6 references

Ekonomická revue

  • M PWachowiak, R Wachowiak-Smolíková, D Smolík
  • Central European Review of Economic Issues
  • 2010
Highly Influential
5 Excerpts

Applied Logistic Regression (New Jersey

  • D WHosmer
  • 2000
Highly Influential
4 Excerpts

Fundamentals of Computational Swarm Intelligence (New Jersey

  • A PEngelbrecht
  • 2006

Particle Swarm Optimization (California: ISTE Publishing

  • M Clerc
  • 2006

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