TDMA Time Slot and Turn Optimization with Evolutionary Search Techniques
In this paper we present arithmetic real-coded variation operators tailored for time slot and turn optimization on TDMA-scheduled resources with evolutionary algorithms. Our operators implement a heuristic strategy to converge towards the solution space and are able to escape local minima. Furthermo...
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| Veröffentlicht in: | Design, Automation and Test in Europe S. 312 - 317 |
|---|---|
| Hauptverfasser: | , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
Washington, DC, USA
IEEE Computer Society
07.03.2005
IEEE |
| Schriftenreihe: | ACM Conferences |
| Schlagworte: |
Computing methodologies
> Artificial intelligence
> Search methodologies
> Heuristic function construction
Theory of computation
> Design and analysis of algorithms
> Approximation algorithms analysis
> Scheduling algorithms
Theory of computation
> Design and analysis of algorithms
> Data structures design and analysis
> Sorting and searching
Theory of computation
> Design and analysis of algorithms
> Online algorithms
> Online learning algorithms
> Scheduling algorithms
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| ISBN: | 9780769522883, 0769522882 |
| ISSN: | 1530-1591 |
| Online-Zugang: | Volltext |
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