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A selection hyper-heuristic is a high level search methodology which operates over a fixed set of low level heuristics.
It offers analytics, high level search, segmentation, and discovery, realtime activity streams, project management tools that basically allow you to upload and customize a wide variety of content without feeling like you're working with three-year-old Drupal technology.
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Different from the previously proposed approaches, we are applying a high-level search method, known as selection hyper-heuristic to solve this problem.
However, current research has mainly focused on various sophisticated high-level search strategies in the form of different local search metaheuristics and their hybrids.
The third step is to immediately set up a high-level search committee to look for people with global credibility to run the NBU (no more Russian headhunters, please).
This scene-based (or possibly body-based) representation could form part of a high-level search strategy that is controlled by frontal cortex, and might be represented in orbitofrontal cortex because of the links of this area with reward [7], [29].
"It's hard for the husband to look his wife and children in the eye and say, 'We're making this move but our house is going to be 30 percent smaller,' " said Mr. Carpenter, who has done high-level searches for Unilever, Digitas and Black & Decker.
Second, the use of a sensitive search strategy ensured a high level of search completeness.
We introduce new high level reactive search strategies based on a generic algorithm's controller that is able to schedule the basic variation operators of the evolutionary algorithm, according to the observed state of the search.
At a high level, a search on "golf club" yields 4,023 patents while "running shoe" only yields 48.
At a high level, skill search works in a similar way to Netflix's framework for TV and movie recommendations.
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