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Additionally, we show how suitable search procedures can be automatically synthesized in order to exploit recognized dependencies.
There is an apparent need for a systematic approach to designing, executing, and evaluating a suitable search strategy for optimally retrieving the target literature from digital libraries.
To design and refine an algorithm, numerous trial-and-error runs are often performed in order to choose a suitable search operator and the parameters.
Since self-archiving is extremely sporadic, this repository is compiled from several identified, authentic sources by extracting metadata by constructing a suitable search strategy.
To overcome this drawback, we propose an improved double test scheme with a fine initialization as well as a suitable search order.
That this occurs, however, does not render the search invalid, so long as it is authorized by a suitable search warrant and so long as the police, in executing that warrant, limit themselves to searching for items which may constitutionally be seized.
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The question is how to design an effective selection mechanism to adaptively select a suitable local search to be combined with HSA during the search process.
Ant colony optimization (ACO) is a very suitable path search algorithm, whose typical application is traveling salesman problem.
This demonstrates that the selection mechanism can effectively assist HSA to adaptively select a suitable local search during the problem solving process.
Therefore, this work proposes an adaptive HSA that embeds an adaptive selection mechanism to adaptively select a suitable local search algorithm to be applied.
A suitable ME search range can reduce the computational complexity of 3D-HEVC and also maintain the good RD performance.
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