Editors:
- Recent research on Nature Inspired Cooperative Strategies for Optimizationcrest123
- Edited outcome of the sixth International Workshop NICSO 2013 Nature Inspired Cooperative Strategies for Optimization held September 2nd - 4th, 2013 at Canterbury, UK
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 512)
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Table of contents (26 chapters)
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Front Matter
About this book
Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation.
This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.
Editors and Affiliations
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School of Computer Science, University of Nottingham, Nottingham, United Kingdom
German Terrazas
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School of Computing, University of Kent, Canterbury, United Kingdom
Fernando E. B. Otero
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Center for Research on ICT, University of Granada, Granada, Spain
Antonio D. Masegosa
Bibliographic Information
Book Title: Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
Book Subtitle: Learning, Optimization and Interdisciplinary Applications
Editors: German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-01692-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-01691-7Published: 10 September 2013
Softcover ISBN: 978-3-319-03347-1Published: 14 August 2015
eBook ISBN: 978-3-319-01692-4Published: 15 August 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 355