Overview
- Highlights a wealth of applications of metaheuristics to real-world problems from several areas of Engineering
- Describes improved versions of classical metaheuristic methods, such as Bat Algorithms and Differential Evolution
- Gathers contributions from 4 countries and 18 research centers around the world
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Table of contents (14 chapters)
Keywords
About this book
The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.
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Editors and Affiliations
About the editors
Xin She-Yang is a Reader in modeling and optimization at Middlesex University and an elected Bye-Fellow at Cambridge University’s Downing College. His research interests include nature-inspired computation, swarm intelligence, modeling, and optimization. Yang received a DPhil (PhD) in applied mathematics from the University of Oxford. He is currently chair of IEEE Computational Intelligence Society’s Task Force on Business Intelligence and Knowledge Management.
Antônio José da Silva Neto is a Mechanical and Nuclear Engineer (Universidade Federal do Rio de Janeiro - UFRJ, Brazil, 1983), holding an MSc in Nuclear Engineering (UFRJ, 1989), and a PhD in Mechanical Engineering (North Carolina State University, USA, 1993). He worked as engineer and researcher for the Brazilian National Nuclear Energy Commission - CNEN (1984-1986), and as consultant and engineer for Promon Engineering (1986-1997). In 1997 he joined the faculty of Universidade do Estado do Rio de Janeiro - UERJ, where he is currently a Full Professor at the Polytechnic Institute.
Bibliographic Information
Book Title: Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering
Editors: Gustavo Mendes Platt, Xin-She Yang, Antônio José Silva Neto
DOI: https://doi.org/10.1007/978-3-319-96433-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-96432-4Published: 06 October 2018
Softcover ISBN: 978-3-030-07190-5Published: 31 January 2019
eBook ISBN: 978-3-319-96433-1Published: 25 September 2018
Edition Number: 1
Number of Pages: XXIX, 284
Number of Illustrations: 37 b/w illustrations, 61 illustrations in colour
Topics: Computational Intelligence, Discrete Optimization, Continuous Optimization, Probability Theory and Stochastic Processes
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