Towards Intelligent Optimization of Design Strategies of Cyber-Physical Systems: Measuring Efficacy Through Evolutionary
Designing of effective cyber-physical system (CPS) encompassing different vertical applications solicits different components of design. Most of the components are uncertain and dynamic in nature. They either could be in the form of hardware sensors, opti
- PDF / 8,622,945 Bytes
- 301 Pages / 439.42 x 683.15 pts Page_size
- 37 Downloads / 154 Views
Orestes Llanes Santiago Carlos Cruz Corona Antônio José Silva Neto José Luis Verdegay Editors
Computational Intelligence in Emerging Technologies for Engineering Applications
Studies in Computational Intelligence Volume 872
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Orestes Llanes Santiago • Carlos Cruz Corona Antônio José Silva Neto • José Luis Verdegay Editors
Computational Intelligence in Emerging Technologies for Engineering Applications
Editors Orestes Llanes Santiago CUJAE Universidad Tecnológica de La Habana José Antonio Echeverría Marianao, La Habana, Cuba Antônio José Silva Neto Instituto Politécnico-Universidade do Estado do Rio de Janeiro Nova Friburgo, Brazil
Carlos Cruz Corona University of Granada Granada, Spain José Luis Verdegay University of Granada Granada, Spain
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-34408-5 ISBN 978-3-030-34409-2 (eBook) https://doi.org/10.1007/978-3-030-34409-2 Mathematics Subject Classification: 15A29, 80A20, 93C42, 74P99 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assum
Data Loading...