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...
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| Daljnji autori: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2009. |
| Serija: | Studies in Computational Intelligence
210 |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012617 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012631 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642101779 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012617 |
Sadržaj:
- 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