Overview
- Recent research on Nature Inspired Cooperative Strategies for Optimization
- Edited outcome of the conference NICSO 2011 Nature Inspired Cooperative Strategies for Optimization October 20-22, Cluj Napoca, Romania
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 387)
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Table of contents (23 chapters)
Keywords
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.
The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008), and again in Granada in 2010. NICSO evolved to be one of the most interesting and profiled workshops in nature inspired computing.
NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques.
The topics covered by this volume include Swarm Intelligence (such as Ant and Bee Colony Optimization), Genetic Algorithms, Multiagent Systems, Coevolution and Cooperation strategies, Adversarial Models, Synergic Building Blocks, Complex Networks, Social Impact Models, Evolutionary Design, Self Organized Criticality, Evolving Systems, Cellular Automata, Hybrid Algorithms, and Membrane Computing (P-Systems).
Editors and Affiliations
Bibliographic Information
Book Title: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Editors: David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, Camelia Chira, Rodica Lung
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-24094-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-24093-5Published: 09 October 2011
Softcover ISBN: 978-3-642-26991-2Published: 06 December 2013
eBook ISBN: 978-3-642-24094-2Published: 29 October 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXII, 350
Topics: Computational Intelligence, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences