Reactive Search and Intelligent Optimization
Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optim...
| Call Number: | Libro Electrónico |
|---|---|
| Main Authors: | Battiti, Roberto (Author), Brunato, Mauro (Author), Mascia, Franco (Author) |
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
New York, NY :
Springer US : Imprint: Springer,
2009.
|
| Edition: | 1st ed. 2009. |
| Series: | Operations Research/Computer Science Interfaces Series,
45 |
| Subjects: | |
| Online Access: | Texto Completo |
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