Searching for "Expected Solution Quality." – sorted by Relevance.
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Expected Solution Quality
- Expected Solution Quality John Bresina Mark Drummond Keith Swanson Recom Technologies Recom
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Best-So-Far vs. Where-You-Are: New Perspectives on Simulated Annealing for CAD
- the same expected solution quality. 2 Preliminaries SA can be applied to almost any discrete global
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Advanced OR and AI Methods in Transportation
- reduces the variance in the quality of the realized solutions at (almost) no cost in terms of expected
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Are Multiple Runs of Genetic Algorithms Better than One?
- to maximize the expected quality of the solution? One possibility would be to use all the evaluations in a
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Best-So-Far vs. Where-You-Are: Implications for Optimal Finite-Time Annealing
- increasing, or warming. 5 Table 1 and Figure 4 compare the expected solution qualities of BSF- and WYA
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Staff Scheduling: A Simple Approach that Worked
- costs associated with the other algorithms. This follows the "expected solution quality" [3] method
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Before we begin
- Effort • Expected solution quality increases as more time is allowed for computation • Many ways
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Population Sizing for the Redundant Trivial Voting Mapping
- us a good prediction for the expected solution quality if we consider that the non-uniform redundancy
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Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS-2003, St. Augustine, Florida. Dispatching Cases versus Merging Case-Bases:
- making useful tradeoffs between similarity and expected solution quality when using cases from different
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Dispatching Cases versus Merging Case-Bases:
- —that MCBR enables making useful tradeoffs between similarity and expected solution quality when using cases
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