Zhengsong Wang

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Teaching-learning-based optimization algorithm (TLA) is a recently developed heuristic algorithm based on the natural phenomenon of teaching-learning process. Aiming at the shortage of easily fall into local optimum when solving high dimensional complex optimization problems, in this paper, an improved teaching-learning-based optimization algorithm is(More)
Optimized control of the color-coating production process (CCPP) aims at reducing production costs and improving economic efficiency while meeting quality requirements. However, because optimization control of the CCPP is hampered by model uncertainty, a strategy that considers model uncertainty is proposed. Previous work has introduced a mechanistic model(More)
This paper presents an optimization control strategy of particle quality for drug fluidized bed granulation process. Firstly, a predictive model of average particle size is established to construct the optimization model. However, this quality optimization will be hampered by model uncertainty. The batch-to-batch optimization based on ILC method is utilized(More)
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