Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

  • David Alejandro Pelta
  • Natalio Krasnogor
  • Dan Dumitrescu
  • Camelia Chira
  • Rodica Lung
Part of the Studies in Computational Intelligence book series (SCI, volume 387)

Table of contents

  1. Front Matter
  2. Juan R. González, Carlos Cruz, Ignacio G. del Amo, David A. Pelta
    Pages 41-55
  3. Adriana Stan, Florin-Claudiu Pop, Marcel Cremene, Mircea Giurgiu, Denis Pallez
    Pages 57-71
  4. Alberto Tonda, Evelyne Lutton, Giovanni Squillero
    Pages 101-120
  5. Rodica Ioana Lung, Anca Gog, Camelia Chira
    Pages 121-131
  6. Noémi Gaskó, D. Dumitrescu, Rodica Ioana Lung
    Pages 149-158
  7. Israel Rebollo Ruiz, Manuel Graña Romay
    Pages 159-168
  8. Christopher Expósito Izquierdo, José Luis González Velarde, Belén Melián Batista, J. Marcos Moreno-Vega
    Pages 183-194
  9. Rodica Ioana Lung, Tudor Dan Mihoc, D. Dumitrescu
    Pages 195-203
  10. Camelia-M. Pintea, Sorin V. Sabau
    Pages 239-246
  11. David Iclănzan, Anca Gog, Camelia Chira
    Pages 267-283

About this book

Introduction

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).

Keywords

Computational Intelligence Nature Inspired Cooperative Strategies for Optimization Nature Inspired Strategies for Optimization

Editors and affiliations

  • David Alejandro Pelta
    • 1
  • Natalio Krasnogor
    • 2
  • Dan Dumitrescu
    • 3
  • Camelia Chira
    • 4
  • Rodica Lung
    • 5
  1. 1.Dept. of Computer Science and A.I.E.T.S. Ingenieria Informatica y de TelecomunicaciónUniversity of GranadaGranadaSpain
  2. 2.School of Computer ScienceUniversity of NottinghamNottinghamUK
  3. 3.Center for Cognitive and Neural StudiesBabes-Bolyai University of Cluj NapocaCluj-NapocaRomania
  4. 4.Department of Computer ScienceBabes-Bolyai UniversityCluj-NapocaRomania
  5. 5.Faculty of Economics and Business AdministrationBabes-Bolyai University of Cluj NapocaCluj NapocaRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-24094-2
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-24093-5
  • Online ISBN 978-3-642-24094-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book