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Yang, D. (author), Sun, Y (author), Di Stefano, D. (author), Turrin, M. (author), Sariyildiz, I.S. (author)
Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable “surrogate models” (also known as “Response Surface Models — RSMs” or “metamodels”), are constructed and validated for each...
conference paper 2016