Automated configuration of algorithms for solving hard computational problems
The best-performing algorithms for many hard problems are highly parameterized. Selecting the best heuristics and tuning their parameters for optimal overall performance is often a difficult, tedious, and unsatisfying task. This thesis studies the automation of this important part of algorithm desig...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2009
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| Online Access: | http://hdl.handle.net/2429/13907 |
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