Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

  • Natalio Krasnogor
  • María Belén Melián-Batista
  • José Andrés Moreno Pérez
  • J. Marcos Moreno-Vega
  • David Alejandro Pelta

Part of the Studies in Computational Intelligence book series (SCI, volume 236)

Table of contents

  1. Front Matter
  2. C. -M. Pintea, C. Chira, D. Dumitrescu
    Pages 15-24
  3. Duncan E. Jackson, Mesude Bicak, Mike Holcombe
    Pages 25-36
  4. Rafael Arnay, Leopoldo Acosta, Marta Sigut, Jonay T. Toledo
    Pages 37-47
  5. Belén Melián-Batista, J. Marcos Moreno-Vega, Nitesh Vaswani, Rayco Yumar
    Pages 49-60
  6. R. Karthi, S. Arumugam, K. Ramesh Kumar
    Pages 75-88
  7. Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
    Pages 89-102
  8. Clara M. Campos Rodríguez, José A. Moreno Pérez, Hartmut Noltemeier, Dolores R. Santos Peñate
    Pages 115-126
  9. Miroslav Červenka, Vojtěch Křesálek
    Pages 127-138
  10. Tiago de O. Januario, José Elias C. Arroyo, Mayron César O. Moreira
    Pages 153-164
  11. Yuebin B. Guo, Kwok Yip Szeto
    Pages 165-176
  12. Souhail Dhouib, Sana Kouraïchi, Taïcir loukil, Habib Chabchoub
    Pages 177-187
  13. Carlos R. B. Azevedo, Flávia E. A. G. Azevedo, Waslon T. A. Lopes, Francisco Madeiro
    Pages 197-211
  14. Magnus Jändel
    Pages 213-225
  15. Rodica Ioana Lung, Dan Dumitrescu
    Pages 227-237
  16. Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
    Pages 239-251
  17. Zhenggang Wang, Kwok Yip Szeto, Frederick Chi-Ching Leung
    Pages 253-260
  18. Coromoto León, Gara Miranda, Eduardo Segredo, Carlos Segura
    Pages 261-272
  19. Marco Caserta, Stefan Voß
    Pages 273-286
  20. A. D. Masegosa, D. Pelta, I. G. del Amo, J. L. Verdegay
    Pages 287-300

About this book


The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the artificial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in the diverse species that make up our world has been related to a particular form of problem solving based on the idea of survival of the fittest; similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena.

The first and second editions of the International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), were held in Granada, Spain, 2006, and in Acireale, Italy, 2007, respectively. As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum were the latest ideas and state of the art research related to nature inspired cooperative strategies for problem solving were 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 nature-inspired techniques like Genetic Algorithms, Ant Colonies, Amorphous Computing, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.


Cyc algorithms communication evolution evolutionary algorithm genetic algorithm genetic algorithms membrane computing optimization problem solving programming quantum computing robot robotics swarm intelligence

Editors and affiliations

  • Natalio Krasnogor
    • 1
  • María Belén Melián-Batista
    • 2
  • José Andrés Moreno Pérez
    • 3
  • J. Marcos Moreno-Vega
    • 3
  • David Alejandro Pelta
    • 4
  1. 1.School of Computer Sciences and Information TechnologyUniversity of NottinghamNottinghamUK
  2. 2.Universidad de La LagunaSpain
  3. 3.DEIOC, Facultad de MatemáticasUniversidad de La LagunaLa LagunaSpain
  4. 4.Department of Computer Science and Artificial Intelligence, E.T.S.I Informática y de TelecomunicaciónUniversity of GranadaGranadaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-03210-3
  • Online ISBN 978-3-642-03211-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site