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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...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2008
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-0-387-09624-7 http://cds.cern.ch/record/1338289 |