An adaptive RBF-based multi-objective optimization method for crashworthiness design of functionally graded multi-cell tube

Multi-objective optimization (MOO) problems involving expensive black-box functions are common in various engineering design problems. Currently, metamodel-based multi-objective optimization methods using static metamodels are routinely used to solve these MOO problems. The major challenge to static metamodel-based MOO methods lies in solution accuracy, which heavily depends on the accuracy of the metamodels. While sequential or successive...