Abstract
A new optimization method which can search for the multi-objective optimum solution is described. The feature of the new method include utilizing the constraint transformation method, creating orthogonal arrays, and changing the level values of design factors for every search step. As a result of applying the method to a multi-objective optimization problem, it is shown that the method can search the set of Pareto optimal solutions effectively.
