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
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