Overview
- Discusses new alternative metaheuristic developments that have proven to be effective in their application to several complex problems
- Helps researchers, lecturers, engineers, and practitioners solve their own optimization problems
- Is well-structured so that each chapter can be read independently from the others
Part of the book series: Studies in Computational Intelligence (SCI, volume 775)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Advances in Metaheuristics Algorithms: Methods and Applications
Authors: Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-89309-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-89308-2Published: 20 April 2018
Softcover ISBN: 978-3-030-07736-5Published: 14 December 2018
eBook ISBN: 978-3-319-89309-9Published: 10 April 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 218
Number of Illustrations: 35 b/w illustrations, 13 illustrations in colour