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In the light of this, it can be concluded that ascertaining the best performing heuristic is complicated by the fact that the performance of a heuristic depends on the context of the problem, which determines the structure and relationships of problem parameters.
The complexity of the heuristic depends on two factors.
Acceptance of a heuristic depends on whether it works and is useful in a specific context.
Network sparseness, as identified by the metric entropy of an entire heuristic, depends upon the probabilities of use or weights of particular strategies organized within a heuristic rather than the actual consumption levels associated with strategies.
Similar(56)
The loop uses a heuristic depending on whether the channel capacities have increased or decreased.
The performance of a hyper-heuristic depends on the quality and size of the heuristic pool.
The quality of evolved scheduling heuristics depends on its corresponding performance measure under interested shop conditions.
We found that the success of these heuristics depends on how similar individuals are in terms of the reliability of their judgements and, more importantly, that for dissimilar individuals such heuristics are dramatically inferior to interaction.
Since our heuristics depend on three different thresholds (tCoauthor, tJournalTitle, and tConferenteTitle), we executed a sensitivity test to define the best thresholds.
Heuristic-based identification is distinct from inferences to the best explanation because heuristics depend on the matching of a limited pool of criteria or rules rather than on insights provided by causal explanations or theories of the target's intrinsic mechanisms.
However, the same set of heuristics can be additively composed in infinitely many ways and the quality of the resulting heuristic estimate depends directly on the choice of the composition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com