Model selection for support vector machines using an asynchronous parallel evolution strategy

@article{Runarsson2003ModelSF,
  title={Model selection for support vector machines using an asynchronous parallel evolution strategy},
  author={T. P. Runarsson and Sven Sigurdsson},
  journal={International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003},
  year={2003},
  volume={1},
  pages={495-498 Vol.1}
}
The application of a parallel evolutionary algorithm (ES) to model selection for support vector machines is examined. The problem of model selection is a computationally intense non-convex optimization problem. For this reason a parallel search strategy is desirable. A new non-blocking asynchronous ES is developed for this task. The algorithm is tested on five standard test sets optimizing a number of heuristic bounds on the expected generalization error. 

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