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Parallel and Distributed Metaheuristics

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Computer Aided Systems Theory – EUROCAST 2015 (EUROCAST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9520))

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Abstract

The paper deals with problems and ultramodern approaches recommended to solve various combinatorial optimization (CO) tasks, by using different types of computing environments, including various clouds (CC). A lot of new ideas have been proposed or at least outlined. Non-standard evaluation of the goal function value is also considered.

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References

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Acknowledgments

Paper is supported by funds of NCS, project DEC-2012/05/B/ST7/00102.

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Authors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Czesław Smutnicki & Wojciech Bożejko

Authors
  1. Czesław Smutnicki
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  2. Wojciech Bożejko
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Corresponding author

Correspondence to Czesław Smutnicki .

Editor information

Editors and Affiliations

  1. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Smutnicki, C., Bożejko, W. (2015). Parallel and Distributed Metaheuristics. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-27340-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27339-6

  • Online ISBN: 978-3-319-27340-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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