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This paper proposes a multi-agent scheduling system for dynamic job-shop problem. The negotiation mechanism between agents controlling resources and tasks is discussed. First, a hybrid MAS framework is built to satisfy the requirements of the agile scheduling. Then an intelligent algorithm is designed to reason environment encountered and recommend adaptive(More)
After analyzing the features of species mass in engine combustion process, considering the accuracy and calculating time together, based on a network for one specie, this paper proposes an algorithm for selecting RBF-ANN centers with sectional method to apply in engine combustion species mass: in the image of species mass fraction-temperature, mass fraction(More)
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