The authors outline a new modeling methodology designed to simulate a complex logistics network and to ensure interoperability through application of Intelligent Agent High-Level Architecture for distributed supply chain management.
This paper presents a model for supporting decisions in managing power plants service, using simulation to test possible solutions that emerge from an intelligent optimization tool using genetic algorithms.
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