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Evolutionary Computation in Dynamic and Uncertain Environments pp 345–369Cite as

Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 51))

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Author information

Authors and Affiliations

  1. Department of Mathematical Information Technology, University of Jyväskylä, 35, FI-40014, Agora, Finland

    Ferrante Neri

  2. Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via E. Orabona 4, 70125, Bari, Italy

    Raino A. E. Mäkinen

Authors
  1. Ferrante Neri
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  2. Raino A. E. Mäkinen
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Leicester, University Road, LE1 7RH, Leiceste, UK

    Shengxiang Yang

  2. School of Computer Engineering, Nanyang Technological University, Blk N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew-Soon Ong

  3. Honda Research Institute Europe, Carl-Legien-Str 30, 63073, Offenbach am Main, Germany

    Yaochu Jin

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Neri, F., Mäkinen, R.A.E. (2007). Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation. In: Yang, S., Ong, YS., Jin, Y. (eds) Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49774-5_15

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  • DOI: https://doi.org/10.1007/978-3-540-49774-5_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49772-1

  • Online ISBN: 978-3-540-49774-5

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