Overview
- Presents new approaches to design and optimize emerging manufacturing systems
- Examines the similarities between design and optimization processes
- Explains metaheuristics applied to complex engineering problems
- Features sections on optimization in the energy storage and generation and optimal control in economics and operational research
Part of the book series: Nonlinear Systems and Complexity (NSCH, volume 30)
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Table of contents (10 chapters)
Keywords
About this book
This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Mathematical Modelling and Optimization of Engineering Problems
Editors: J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu
Series Title: Nonlinear Systems and Complexity
DOI: https://doi.org/10.1007/978-3-030-37062-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-37061-9Published: 13 February 2020
Softcover ISBN: 978-3-030-37064-0Published: 13 February 2021
eBook ISBN: 978-3-030-37062-6Published: 12 February 2020
Series ISSN: 2195-9994
Series E-ISSN: 2196-0003
Edition Number: 1
Number of Pages: VIII, 202
Number of Illustrations: 76 b/w illustrations
Topics: Mathematical Applications in the Physical Sciences, Engineering Mathematics, Mathematical Modeling and Industrial Mathematics, Optimization, Computational Science and Engineering