Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution

@inproceedings{Yaman2018LimitedEC,
  title={Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution},
  author={Anil Yaman and Decebal Constantin Mocanu and Giovanni Iacca and George H. L. Fletcher and Mykola Pechenizkiy},
  booktitle={GECCO '18},
  year={2018}
}
  • Anil Yaman, Decebal Constantin Mocanu, +2 authors Mykola Pechenizkiy
  • Published in GECCO '18 2018
  • Computer Science
  • Many real-world control and classification tasks involve a large number of features. When artificial neural networks (ANNs) are used for modeling these tasks, the network architectures tend to be large. Neuroevolution is an effective approach for optimizing ANNs; however, there are two bottlenecks that make their application challenging in case of high-dimensional networks using direct encoding. First, classic evolutionary algorithms tend not to scale well for searching large parameter spaces… CONTINUE READING

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    Neuroevolution: from architectures to learning

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