Applying metamodels and sequential sampling for constrained optimization of process operations
Document typeConference report
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This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the complex nonlinear model based on first principles with Kriging metamodels. Coupled to Kriging, the
CitationShokry, A.; Espuña, A. Applying metamodels and sequential sampling for constrained optimization of process operations. A: International Conference on Artificial Intelligence and Soft Computing. "Lecture Notes in Computer Science". Zakopane: 2014, p. 396-407.