Editors:
- Recent research on Metaheuristics for Dynamic Optimization
- Carefully edited book
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 433)
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Table of contents (16 chapters)
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Front Matter
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Back Matter
About this book
This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming
very important. The tools to face these problems are still to be built, since existing techniques are either slow or inefficient in tracking the many global optima that those problems are presenting to the solver technique.
Thus, this book is devoted to include several of the most important advances in solving dynamic problems. Metaheuristics are the more popular tools to this end, and then we can find in the book how to best use genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired
techniques. Also, neural network solutions are considered in this book.
Both, theory and practice have been addressed in the chapters of the book. Mathematical background and methodological tools in solving this new class of problems and applications are included. From the applications point of view, not just academic benchmarks are dealt with, but also real world applications in logistics and bioinformatics
are discussed here. The book then covers theory and practice, as well as discrete versus continuous dynamic optimization, in the aim of creating a fresh and comprehensive volume. This book is targeted to either beginners and experienced practitioners in dynamic optimization, since we took care of devising the chapters in a way that a wide audience could profit from its contents. We hope to offer a single source for up-to-date information in dynamic optimization, an inspiring and attractive new research domain that appeared in these last years and is here to stay.
Editors and Affiliations
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, E.T.S.I. Informática (3-2-12), Universidad de Málaga, Málaga, Spain
Enrique Alba
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, LISSI, Université Paris-Est Créteil, Créteil, France
Amir Nakib
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, Laboratoire LiSSi, Université Paris-Est Créteil Val de Marn, Créteil, France
Patrick Siarry
Bibliographic Information
Book Title: Metaheuristics for Dynamic Optimization
Editors: Enrique Alba, Amir Nakib, Patrick Siarry
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-30665-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30664-8Published: 12 August 2012
Softcover ISBN: 978-3-642-44370-1Published: 20 September 2014
eBook ISBN: 978-3-642-30665-5Published: 11 August 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXXII, 400
Number of Illustrations: 103 b/w illustrations