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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

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  • © 2021

Overview

  • Presents papers on game strategies
  • Contains contributions from topology optimization
  • Lists hybrid optimization methods such as gradient-based ones

Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 55)

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Table of contents (27 chapters)

Keywords

About this book

This book presents improved and extended versions of selected papers from EUROGEN 2019,  a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.

Editors and Affiliations

  • Department of Polymer Engineering, University of Minho, Guimaraes, Portugal

    António Gaspar-Cunha

  • International Center for Numerical Method, Barcelona, Spain

    Jacques Periaux

  • School of Mechanical Engineering, National Technical University Athens, Athens, Greece

    Kyriakos C. Giannakoglou

  • Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Nicolas R. Gauger

  • CIRA - Centro Italiano Ricerche Aerospaziali, Capua, Italy

    Domenico Quagliarella

  • University of Las Palmas de Gran Canaria, Las Palmas, Spain

    David Greiner

Bibliographic Information

  • Book Title: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

  • Editors: António Gaspar-Cunha, Jacques Periaux, Kyriakos C. Giannakoglou, Nicolas R. Gauger, Domenico Quagliarella, David Greiner

  • Series Title: Computational Methods in Applied Sciences

  • DOI: https://doi.org/10.1007/978-3-030-57422-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-57421-5Published: 24 November 2020

  • Softcover ISBN: 978-3-030-57424-6Published: 24 November 2021

  • eBook ISBN: 978-3-030-57422-2Published: 23 November 2020

  • Series ISSN: 1871-3033

  • Series E-ISSN: 2543-0203

  • Edition Number: 1

  • Number of Pages: XI, 435

  • Number of Illustrations: 49 b/w illustrations, 172 illustrations in colour

  • Topics: Computational Intelligence, Control and Systems Theory, Engineering Mathematics, Robotics and Automation

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