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Springer

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

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Product Code: 9783642012617
ISBN13: 9783642012617
Condition: New
$263.20

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

$263.20
 
Evolution's Niche in Multi-Criterion Problem Solving.- Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization.- Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments.- Dynamic Problems and Nature Inspired Meta-heuristics.- Relaxation Labelling Using Distributed Neural Networks.- Extremal Optimisation for Assignment Type Problems.- Niching for Ant Colony Optimisation.- Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas.- The Radio Network Design Optimization Problem.- Strategies for Decentralised Balancing Power.- An Analysis of Dynamic Mutation Operators for Conformational Sampling.- Evolving Computer Chinese Chess Using Guided Learning.


Author: Andrew Lewis
Publisher: Springer
Publication Date: May 25, 2009
Number of Pages: 360 pages
Binding: Hardback or Cased Book
ISBN-10: 3642012612
ISBN-13: 9783642012617
 

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