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Nature Inspired Cooperative Strategies For Optimization Nicso 2013 Learning Optimization And Interdisciplinary Applications 1st Edition Khalid M Salama

  • SKU: BELL-4325904
Nature Inspired Cooperative Strategies For Optimization Nicso 2013 Learning Optimization And Interdisciplinary Applications 1st Edition Khalid M Salama
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Nature Inspired Cooperative Strategies For Optimization Nicso 2013 Learning Optimization And Interdisciplinary Applications 1st Edition Khalid M Salama instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 6.06 MB
Pages: 355
Author: Khalid M. Salama, Alex A. Freitas (auth.), German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa (eds.)
ISBN: 9783319016917, 9783319016924, 3319016911, 331901692X
Language: English
Year: 2014
Edition: 1

Product desciption

Nature Inspired Cooperative Strategies For Optimization Nicso 2013 Learning Optimization And Interdisciplinary Applications 1st Edition Khalid M Salama by Khalid M. Salama, Alex A. Freitas (auth.), German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa (eds.) 9783319016917, 9783319016924, 3319016911, 331901692X instant download after payment.

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.

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