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Computational Intelligence and Mathematics for Tackling Complex Problems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Intelligence and Mathematics for Tackling Complex Problems/ edited by László T Kóczy, Jesús Medina-Moreno, Eloísa Ramírez-Poussa, Alexander Šostak.
其他作者:	Šostak, Alexander.
面頁冊數:	XVII, 200 p. 43 illus., 29 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-16024-1
ISBN:	9783030160241

Computational Intelligence and Mathematics for Tackling Complex Problems
Computational Intelligence and Mathematics for Tackling Complex Problems[electronic resource] /edited by László T Kóczy, Jesús Medina-Moreno, Eloísa Ramírez-Poussa, Alexander Šostak. - 1st ed. 2020. - XVII, 200 p. 43 illus., 29 illus. in color.online resource. - Studies in Computational Intelligence,8191860-949X ;. - Studies in Computational Intelligence,564.

Keynote Speakers. -Chapter 1. Hierarchical fuzzy decision support methodology for dangerous goods packaging design -- Chapter 2. Towards Automatic Web Identiﬁcation of Solutions in Patient Innovation -- Chapter 3. The Discrete Bacterial Memetic Evolutionary Algorithm for solving the one-commodity Pickup-and-Delivery Traveling Salesman Problem -- Chapter 4. Roughness and Fuzziness, etc.

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.

ISBN: 9783030160241

Standard No.: 10.1007/978-3-030-16024-1doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational Intelligence and Mathematics for Tackling Complex Problems
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