Global optimization method using ensemble of metamodels based on fuzzy clustering for design space reduction

Abstract

For most engineering design optimization problems, it is difficult or even impossible to find the global optimum due to the unaffordable computational cost. To overcome this difficulty, a global optimization method that integrates the ensemble of metamodels and fuzzy clustering is proposed to deal with the optimization problems involving the computation… (More)
DOI: 10.1007/s00366-016-0490-x

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