Studies in Computational Intelligence

Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

Editors: Krasnogor, N., Melián-Batista, B., Moreno-Pérez, J.A., Moreno-Vega, J.M., Pelta, D.A. (Eds.)

  • Presents the latest results in nature inspired cooperative strategies for optimization

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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.

Table of contents (24 chapters)

  • Exploration in Stochastic Algorithms: An Application on $\cal M\!AX\!$ – $\cal MI\!N\!$ Ant System

    Pellegrini, Paola (et al.)

    Pages 1-13

  • Sensitive Ants: Inducing Diversity in the Colony

    Pintea, C. -M. (et al.)

    Pages 15-24

  • Decentralised Communication and Connectivity in Ant Trail Networks

    Jackson, Duncan E. (et al.)

    Pages 25-36

  • Detection of Non-structured Roads Using Visible and Infrared Images and an Ant Colony Optimization Algorithm

    Arnay, Rafael (et al.)

    Pages 37-47

  • A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem

    Melián-Batista, Belén (et al.)

    Pages 49-60

Buy this book

eBook $209.00
price for USA (gross)
  • ISBN 978-3-642-03211-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $269.00
price for USA
  • ISBN 978-3-642-03210-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA
  • ISBN 978-3-642-26034-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
Editors
  • Natalio Krasnogor
  • Belén Melián-Batista
  • José Andrés Moreno-Pérez
  • J. Marcos Moreno-Vega
  • David Alejandro Pelta
Series Title
Studies in Computational Intelligence
Series Volume
236
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-03211-0
DOI
10.1007/978-3-642-03211-0
Hardcover ISBN
978-3-642-03210-3
Softcover ISBN
978-3-642-26034-6
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXVIII, 300
Topics