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Taguchi's method for multi‐objective optimization problems
Author(s) -
Agastra Elson,
Pelosi Giuseppe,
Selleri Stefano,
Taddei Ruggero
Publication year - 2013
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20680
Subject(s) - taguchi methods , benchmark (surveying) , multi objective optimization , convergence (economics) , genetic algorithm , mathematical optimization , pareto principle , computer science , orthogonal array , optimization problem , algorithm , engineering , mathematics , machine learning , geodesy , economic growth , economics , geography
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. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE , 2013.