Studies in Computational Intelligence

Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Editors: Pelta, D.A., Krasnogor, N., Dumitrescu, D., Chira, C., Lung, R. (Eds.)

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  • 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
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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).

Table of contents (23 chapters)

Table of contents (23 chapters)
  • Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

    Pages 1-19

    Villacorta, Pablo J. (et al.)

  • Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm

    Pages 21-40

    al-Rifaie, Mohammad Majid (et al.)

  • An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems

    Pages 41-55

    González, Juan R. (et al.)

  • Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis

    Pages 57-71

    Stan, Adriana (et al.)

  • Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles

    Pages 73-84

    Terrazas, Germán (et al.)

Buy this book

eBook 139,09 €
price for Spain (gross)
  • ISBN 978-3-642-24094-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 187,19 €
price for Spain (gross)
  • ISBN 978-3-642-24093-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 174,94 €
price for Spain (gross)
  • ISBN 978-3-642-26991-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

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
Series Volume
387
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Berlin Heidelberg
eBook ISBN
978-3-642-24094-2
DOI
10.1007/978-3-642-24094-2
Hardcover ISBN
978-3-642-24093-5
Softcover ISBN
978-3-642-26991-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXII, 350
Topics