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 Author: | Battiti, Roberto, 1961- |
|---|---|
| Other Authors: | Brunato, Mauro., Mascia, Franco., SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
©2008.
|
| Physical Description: |
1 online resource (x, 196 pages) : illustrations. |
| Series: |
Operations research/computer science interfaces series ;
45. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |