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Production scheduling has been recognized as common but challenging combinatorial problems. Because of their complexity, recent research has turned to genetic algorithms to address such problems. Although genetic algorithms have been proven to facilitate the entire space search, they lack in fine-tuning capability for obtaining the global optimum.(More)
Aim at need of project logistics in practice, a parameter evaluating system about leaguer of virtual enterprise is presented, and then the BP neural network model of qualification layer and target layer of this system are build and modularized. Based this, a double layer and intelligent estimating model is built. The Modularized, double layer structure of(More)
Due to the low efficiency of hull building, this paper applies Timed Place Petri net to model and optimize the process of hull construction scheduling. We adjust the Orientation Block, eliminate the Hatch Coaming Section, repartition the complicated blocks and reduce the construction difficulty. Modularization building and flow line construction are(More)
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