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Most scheduling problems are notoriously intractable, so the majority of algorithms for them are heuristic in nature. Priority rule-based methods still constitute the most important class of these heuristics. Of these, in turn, parameterized biased random sampling methods have attracted...
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Most scheduling problems are notoriously intractable, so the majority of algorithms for them are heuristic in nature. Priority rule-based methods still constitute the most important class of these heuristics. Of these, in turn, parameterized biased random sampling methods have attracted...
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For most computationally intractable problems there exists no heuristic that is equally effective on all instances. Rather, any given heuristic may do well on some instances but will do worse on others. Indeed, even the 'best' heuristics will be dominated by others on at least some subclasses of...
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Dieser Beitrag ist der Zeit- und Ressourcenplanung der fliegerischen Theorieausbildung bei der Lufthansa Flight Training GmbH (LFT) gewidmet, Gemeinsamkeiten mit ähnlichen Problemen anderer Schulungsanbieter veranlaßten uns, diese als Elemente eines eigenständigen Problemfeldes zu betrachten,...
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