Editors:
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 819)
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Table of contents (24 chapters)
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Front Matter
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.Editors and Affiliations
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Faculty of Engineering Sciences, Széchenyi István University, Gyõr, Hungary
László T Kóczy
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Science Faculty, Department of Mathematics, University of Cádiz, Cádiz, Spain
Jesús Medina-Moreno
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Faculty of Economic and Business Sciences, Department of Mathematics, University of Cádiz, Cádiz, Spain
Eloísa Ramírez-Poussa
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Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia
Alexander Šostak
Bibliographic Information
Book Title: Computational Intelligence and Mathematics for Tackling Complex Problems
Editors: László T Kóczy, Jesús Medina-Moreno, Eloísa Ramírez-Poussa, Alexander Šostak
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-16024-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-16023-4Published: 14 May 2019
eBook ISBN: 978-3-030-16024-1Published: 02 May 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 200
Number of Illustrations: 14 b/w illustrations, 29 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Computational Science and Engineering, Artificial Intelligence