A Spotlight Search Method for Multi-criteria Optimization Problems
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In many engineering applications including multidisciplinary optimization (MDO) problems, a decision maker often tends to evaluate and optimize multiple criteria at the same time to carry out a tradeoff study. Nevertheless, solving a multi-criteria optimization (MCO) problem, in general, is a difficult practice. Numerous methods have been proposed and applied to various applications over the past few decades. This paper introduces a new MCO method suitable for continuous, nonlinear MCO problems. The concept of the proposed method, a spotlight search method (SSM), is easily comprehendible and its implementation is simple and straightforward. Mathematical formulations show that this method can be considered as a variation of the goal attainment method (GAM). Five test problems are selected and numerical experiments are presented to demonstrate the usefulness of SSM with comparison to GAM. It is observed that SSM finds the Pareto front more efficiently for all test problems.