Abstract: Multi-objective optimization (MOO) problems with computationally expensive constraints are commonly seen in real-world engineering design. However, metamodel-based design optimization (MBDO) approaches for MOO are often ...

Abstract: The recently developed metamodelbased decomposition strategy relies on quantifying the variable correlations of blackbox functions so that highdimensional problems are decomposed to smaller subproblems, before performing ...

Abstract: Expensive constraints are commonly seen in real-world engineering design. However, metamodel based design optimization (MBDO) approaches often assume inexpensive constraints. In this work, the situational adaptive Kreisselmeier ...

Abstract: Mode pursuing sampling (MPS) was developed as a global optimization algorithm for design optimization problems involving expensive black box functions. MPS has been found to be effective and efficient for design problems ...