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This paper describes the application of genetic algorithms (GAs) to the optimization of a composite patch bonded on a metallic structure. The objective is to reduce the stress level in a given area under some constraints such as a maximum surface of the patch and some forbidden zones which cannot be covered by the patch. GAs are presently used for optimizing ply orientations of the stacking sequence...
Optimization of a fed-batch bioreactor using a cascade recurrent neural network (RNN) model and modified genetic algorithm (GA) is studied in this paper. The complex nonlinear relationship between the manipulated feed rate and the biomass product is described by two recurrent neural sub-models, in which outputs of one sub-model are fed into another sub-model to provide meaningful information for the...
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