Authors:
- 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)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
About this book
Authors and Affiliations
-
CUCEI, Universidad de Guadalajara, Guadalajara, Mexico
Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
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