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The proposed knowledge-based architecture investigates the mechanism of case base, heuristic base, and rule base that incorporates explicit knowledge, tacit knowledge, and procedural knowledge in support of managing knowledge and dealing with inertia.
By doing so, this article presents a knowledge-based system architecture, including case base, rule base, heuristic base, and learning paradigm, for the military command and control procedure with strategic guidance (commander's strategy and tactics) and tactical planning (staff plans generation) system functions in terms of implementing problem structuring methods in military command and control.
This paper intends to present a knowledge-based architecture that incorporates the function of case base, heuristic base, and rule base for implementing the military geographical intelligence system on Intranet.
Only SNPs called correctly in >95% of samples were included in final versions of the heuristic base calling algorithm.
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One of them is a flowshop-based heuristic based on the Gilmore-Gomory algorithm.
But their actual judgments appear to be driven disproportionately by what amounts to a heuristic based on a few (often idiosyncratic) pieces of data.
We also develop several heuristic models based on our formulations and find that even a heuristic based on an inferior model can surpass others based on superior models.
A Lagrangian heuristic based on the solution of the subproblem is proposed.
We also design a multiobjective deterministic heuristic based on branch exchange.
The artificial neural network model was trained with traditional as well as heuristic based methods.
A heuristic based on a GRASP algorithm is adopted to solve the problem.
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