Biologically-Inspired Optimisation Methods : Parallel Algorithms, Systems and Applications
Overview
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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783642101779
- ISBN-10: 3642101771
- Publisher: Springer
- Publish Date: October 2010
- Dimensions: 9.21 x 6.14 x 0.77 inches
- Shipping Weight: 1.15 pounds
- Page Count: 360
Related Categories
