Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Author :
Publisher : Springer Science & Business Media
Total Pages : 520
Release :
ISBN-10 : 9783540789864
ISBN-13 : 3540789863
Rating : 4/5 (863 Downloads)

Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) by : Natalio Krasnogor

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) written by Natalio Krasnogor and published by Springer Science & Business Media. This book was released on 2008-05-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.


Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) Related Books

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Language: en
Pages: 520
Authors: Natalio Krasnogor
Categories: Computers
Type: BOOK - Published: 2008-05-14 - Publisher: Springer Science & Business Media

GET EBOOK

Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Language: en
Pages: 359
Authors: David Alejandro Pelta
Categories: Technology & Engineering
Type: BOOK - Published: 2011-10-29 - Publisher: Springer

GET EBOOK

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving t
Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
Language: en
Pages: 320
Authors: Natalio Krasnogor
Categories: Technology & Engineering
Type: BOOK - Published: 2009-10-04 - Publisher: Springer

GET EBOOK

The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the arti?cia
Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)
Language: en
Pages: 401
Authors: Carlos Cruz
Categories: Computers
Type: BOOK - Published: 2010-04-07 - Publisher: Springer Science & Business Media

GET EBOOK

Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhanc
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
Language: en
Pages: 357
Authors: German Terrazas
Categories: Technology & Engineering
Type: BOOK - Published: 2013-08-15 - Publisher: Springer

GET EBOOK

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving t