An Adaptive Surrogate-Assisted Strategy for Multi-Objective Optimization
نویسنده
چکیده
1. Abstract A sequential metamodel-based optimization method is proposed for multi-objective optimization problems. The algorithm, designated as Pareto Domain Reduction, is an adaptive sampling method and an extension of the classical Domain Reduction approach (also known as the Sequential Response Surface Method). In addition to standard benchmark examples, a Multidisciplinary Design Optimization (MDO) example involving a vehicle impact is used to demonstrate that the accuracy conforms to the Direct NSGA-II “exact” method while using a small fraction of its computational effort.
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