An Efficient New Sequential Strategy for Multi-Objective Optimization using LS-OPT

®A new surrogate-assisted Multi-Objective Optimization algorithm has been implemented in LS-OPT . The algorithm, known as Pareto Domain Reduction, is an adaptive sampling method and an extension of the classical Domain Reduction approach (also known as SRSM). A Multidisciplinary Design Optimization (MDO) example involving a vehicle impact is used to demonstrate that the accuracy is very close to the NSGA-II “exact” method while using a small fraction of the computational effort.