Taguchi's method for multi-objective optimization problems

Abstract

Taguchi's method is a quality design technique whose applications in numerical 
single-objective optimization have been recently exploited. In this article, a novel 
multi-objective (MO) algorithm based on Taguchi's technique is illustrated and its 
performances assessed. Validation is performed through a comparison between the 
presented algorithm and a MO genetic algorithm (GA) based optimization, first on 
different sets of test functions and then on a practical antenna array synthesis problem. 
Results indicate a generally better behavior of the proposed algorithm in terms of 
convergence and spreading over the Pareto front with respect to the GA benchmark. 
(c) 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE , 2013.