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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2009.
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| Series: | Operations Research/Computer Science Interfaces Series,
45 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09624-7 |