Overview
- Discusses new alternative metaheuristic developments which have proved to be effective in their application to several complex problems
- Presents the performance comparison of various metaheuristic techniques when they face complex optimization problems
- Considers different new metaheuristic methods and their practical applications
- Highlights recent applications such as image processing, complex scheduling problems, supplier selection, and Internet of Things (IoT)
- Structured so that each chapter can be read independently from the others
Part of the book series: Studies in Computational Intelligence (SCI, volume 948)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
-
Front Matter
Keywords
About this book
This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.
Authors and Affiliations
Bibliographic Information
Book Title: Recent Metaheuristic Computation Schemes in Engineering
Authors: Erik Cuevas, Alma Rodríguez, Avelina Alejo-Reyes, Carolina Del-Valle-Soto
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-66007-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66006-2Published: 05 February 2021
Softcover ISBN: 978-3-030-66009-3Published: 05 February 2022
eBook ISBN: 978-3-030-66007-9Published: 04 February 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 277
Number of Illustrations: 43 b/w illustrations, 36 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Cyber-physical systems, IoT