Studies in Computational Intelligence

Biologically-Inspired Optimisation Methods

Parallel Algorithms, Systems and Applications

Editors: Lewis, Andrew, Mostaghim, Sanaz, Randall, Marcus (Eds.)

  • Presents recent research in Biologically-inspired Optimisation Methods

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eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-01262-4
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Hardcover $249.00
price for USA
  • ISBN 978-3-642-01261-7
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  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
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  • ISBN 978-3-642-10177-9
  • Free shipping for individuals worldwide
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About this book

Humanity has often turned to Nature for inspiration to help it solve its problems.  The systems She provides are often based on simple rules and premises, yet are able to adapt to new and complex environments quickly and efficiently.  Problems from a range of human endeavours, including, science, engineering and economics, require us to find good quality solutions in exponentially large search spaces, a task that often requires vast amounts computational resources and effort.  In this book, the contributing authors solve these problems by modelling aspects of the natural world, from the flocking of birds and fish, the operation of colonies of ants through to chromosome reproduction and beyond.  Many of the contributions represent extended studies of work presented at a number of workshops on Biologically-Inspired Optimisation Methods at international conferences on e-Science, Grid Computing, and Evolutionary Computation.  A variety of chapters from some of the leading experts in the field present an overview of the state-of-the-art, recent advances in theoretical and practical ideas and techniques, and details of application of these methods to a range of benchmark and real world problems.

Table of contents (12 chapters)

  • Evolution’s Niche in Multi-Criterion Problem Solving

    Deb, Kalyanmoy

    Pages 1-21

  • Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization

    Jaimes, Antonio López (et al.)

    Pages 23-49

  • Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments

    Lewis, Andrew (et al.)

    Pages 51-78

  • Dynamic Problems and Nature Inspired Meta-heuristics

    Hendtlass, Tim (et al.)

    Pages 79-109

  • Relaxation Labelling Using Distributed Neural Networks

    Austin, Jim

    Pages 111-138

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-3-642-01262-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-642-01261-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-3-642-10177-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Biologically-Inspired Optimisation Methods
Book Subtitle
Parallel Algorithms, Systems and Applications
Editors
  • Andrew Lewis
  • Sanaz Mostaghim
  • Marcus Randall
Series Title
Studies in Computational Intelligence
Series Volume
210
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-01262-4
DOI
10.1007/978-3-642-01262-4
Hardcover ISBN
978-3-642-01261-7
Softcover ISBN
978-3-642-10177-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 360
Topics