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Studies in Computational Intelligence

Computational Intelligence and Mathematics for Tackling Complex Problems

Editors: Kóczy, L.T., Moreno, J.M., Ramírez-Poussa, E., Sostak, A. (Eds.)

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  • Combines computational intelligence and mathematics to solve theoretical and real-world problems alike
  • Gathers extended and revised versions of the best papers presented at the ESCIM 2018
  • Written by respected experts in the field
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-030-16024-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-16023-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book combines computational intelligence and mathematics to solve theoretical and real-world problems. The real challenges of engineering and other applied sciences, e.g. economics and management, the social sciences, etc., and even everyday life, are increasingly raising complex problems – both in the usual sense, but also in the mathematical and theoretical computer science sense, which is referred to as intractability. Finding exact solutions to the latest problems in mathematics is impossible, and it has been also shown that no further technical advance will ever make it possible to find general and exact solutions to such complex problems. Rather, the goal is to find solutions that are “good enough” or “acceptably accurate,” including models and corresponding algorithms, which is most often achieved by combining traditional mathematical techniques and computational intelligence tools, such as fuzzy systems, evolutionary and memetic algorithms, and artificial neural networks.

Consequently, international funding programs, such as the European Commission’s current framework program for research and innovation (Horizon 2020), and the preliminary research team building COST Actions, are devoted to developing new instruments for tackling the challenges that we face in the current technological age. And it goes without saying that research topics concerning the interactions between computational intelligence and traditional mathematics play a key role in overcoming the obstacles associated with the intractability of complex problems. In this book, mathematicians, engineers, and other scientists highlight novel methodological results connecting these two main research areas, and focusing on solving real-life problems.

Table of contents (24 chapters)

Table of contents (24 chapters)
  • Hierarchical Fuzzy Decision Support Methodology for Dangerous Goods Packaging Design

    Pages 1-7

    Vöröskői, Kata (et al.)

  • Towards Automatic Web Identification of Solutions in Patient Innovation

    Pages 9-14

    Almeida, João N. (et al.)

  • The Discrete Bacterial Memetic Evolutionary Algorithm for Solving the One-Commodity Pickup-and-Delivery Traveling Salesman Problem

    Pages 15-22

    Tüű-Szabó, Boldizsár (et al.)

  • Roughness and Fuzziness

    Pages 23-34

    Csajbók, Zoltán Ernő (et al.)

  • Applying Fuzzy Hough Transform for Identifying Honed Microgeometrical Surfaces

    Pages 35-42

    Nagy, Szilvia (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-030-16024-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-16023-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Intelligence and Mathematics for Tackling Complex Problems
Editors
  • László T Kóczy
  • Jesús Medina Moreno
  • Eloísa Ramírez-Poussa
  • Alexander Sostak
Series Title
Studies in Computational Intelligence
Series Volume
819
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-16024-1
DOI
10.1007/978-3-030-16024-1
Hardcover ISBN
978-3-030-16023-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVII, 200
Number of Illustrations
14 b/w illustrations, 29 illustrations in colour
Topics