Biologically-Inspired Optimisation Methods : Parallel Algorithms, Systems and Applications /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
210 |
| Subjects: |
Table of Contents:
- 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.