Biologically-inspired Optimisation Methods : Parallel Algorithms, Systems and Applications

Lewis, Andrew; Mostaghim, Sanaz; Randall, Marcus

ISBN 10: 3642101771 / ISBN 13: 9783642101779

Verlag: Springer, 2010

Unread book in perfect condition. Bestandsnummer des Verkäufers 12796485

Inhaltsangabe:

This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Von der hinteren Coverseite: 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.

Bibliografische Details

Titel: Biologically-inspired Optimisation Methods :...
Verlag: Springer
Erscheinungsdatum: 2010
Einband: Softcover
Zustand: As New