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Natural Computing Series

An Introduction to Metaheuristics for Optimization

Authors: Chopard, Bastien, Tomassini, Marco

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  • Accessible introduction, suitable for students and for self-study
  • Assumes basic computing skills only as a prerequisite
  • Authors are interdisciplinary researchers, and they bring this into their approach
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eBook $39.99
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  • ISBN 978-3-319-93073-2
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  • ISBN 978-3-319-93072-5
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About this Textbook

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.

This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

About the authors

Bastien Chopard is a professor in the Département d'informatique of the Université de Genève, where he directs the Scientific and Parallel Computing Group. His main research activity concerns the study of complex systems, in particular the development of new numerical methods to model and simulate phenomena in natural sciences, economics, social systems, and biomedical applications, the key tools used being cellular automata, the lattice Boltzmann method, and multiagent techniques. 

Marco Tomassini is an honorary professor at the Faculty of Business and Economics of the University of Lausanne (HEC). After obtaining a PhD degree in Theoretical Chemistry working on computer simulations of condensed matter systems, he switched to Computer Science and complex systems investigations. His main research activities have since focused on parallel computing, cellular automata, evolutionary algorithms, the structure of difficult problem landscapes, complex networks, and evolutionary games.

Reviews

“I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems … but also to understand how they work.” (Marcin Anholcer, zbMATH 1427.90001, 2020)

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook $39.99
price for USA in USD
  • ISBN 978-3-319-93073-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $49.99
price for USA in USD
  • ISBN 978-3-319-93072-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
An Introduction to Metaheuristics for Optimization
Authors
Series Title
Natural Computing Series
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-93073-2
DOI
10.1007/978-3-319-93073-2
Hardcover ISBN
978-3-319-93072-5
Series ISSN
1619-7127
Edition Number
1
Number of Pages
XII, 226
Number of Illustrations
44 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.