A NEW FORMULATION FOR BI-OBJECTIVE OPTIMIZATION THROUGH A COMBINED APPROACH

Abstract

In this work, we present a new robust optimization approach based on the combined conventional and minimum sensitivity optimization approaches. For the new approach, we provide a new formulation in which the conventional objective function and the minimum sensitivity function are solved in a bi-objective optimization problem. A perturbation analysis is carried using Monte Carlo (MC) simulation approach. A comparison among the three optimization approaches is provided. The validity of the new approach is ascertained through test bed problems. Five case studies involving the optimization of real engineering systems are presented using the developed approach. An optimization code is developed using Matlab environment.