Simultaneously searching with multiple algorithm settings: an alternative to parameter tuning for suboptimal single-agent search
Many single-agent search algorithms have parameters that need to be tuned. Although settings found by offline tuning will exhibit strong average performance, properly selecting parameter settings for each problem can result in substantially reduced search effort. We consider the use of dovetailing a...
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| Format: | Others |
| Language: | en |
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2009
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| Online Access: | http://hdl.handle.net/10048/732 |