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A global optimization algorithm combining an adaptive response surface approximation of the objective function and experiment design strategy is presented. In the adaptive approximation, an optimal Latin hypercube sampling strategy based on multi-objective Pareto optimization is developed to obtain the sampling data in the design variable space, and(More)
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