Nature Inspired Cooperative Strategies for Optimization...

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications

Khalid M. Salama, Alex A. Freitas (auth.), German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa (eds.)
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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.

Năm:
2014
In lần thứ:
1
Nhà xuát bản:
Springer International Publishing
Ngôn ngữ:
english
Trang:
355
ISBN 10:
331901692X
ISBN 13:
9783319016924
Loạt:
Studies in Computational Intelligence 512
File:
PDF, 6.06 MB
IPFS:
CID , CID Blake2b
english, 2014
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