Parallel ant colony for nonlinear function optimization with graphics hardware acceleration

@article{Zhu2009ParallelAC,
  title={Parallel ant colony for nonlinear function optimization with graphics hardware acceleration},
  author={Weihang Zhu and J. Curry},
  journal={2009 IEEE International Conference on Systems, Man and Cybernetics},
  year={2009},
  pages={1803-1808}
}
This paper presents a massively parallel Ant Colony Optimization — Pattern Search (ACO-PS) algorithm with graphics hardware acceleration on nonlinear function optimization problems. The objective of this study is to determine the effectiveness of using Graphics Processing Units (GPU) as a hardware platform for ACO-PS. GPU, the common graphics hardware found in modern personal computers, can be used for data-parallel computing in a desktop setting. In this research, the classical ACO is adapted… CONTINUE READING

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