Biologically-inspired optimisation methods : parallel algorithms, systems and applications /
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, engi...
| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Berlin :
Springer,
©2009
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| Series: | Studies in computational intelligence ;
v. 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