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)
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Table of contents (8 chapters)
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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