Affiliations: [a] College of Electrical Engineering, Zhejiang
University, Hangzhou, China | [b] São Paulo State University, São
José do Rio Preto SP, Brazil
Abstract: The study of robust design methodologies and techniques has become a
new topical area in design optimizations in nearly all engineering and applied
science disciplines in the last 10 years due to inevitable and unavoidable
imprecision or uncertainty which is existed in real word design problems. To
develop a fast optimizer for robust designs, a methodology based on polynomial
chaos and tabu search algorithm is proposed. In the methodology, the polynomial
chaos is employed as a stochastic response surface model of the objective
function to efficiently evaluate the robust performance parameter while a
mechanism to assign expected fitness only to promising solutions is introduced
in tabu search algorithm to minimize the requirement for determining robust
metrics of intermediate solutions. The proposed methodology is applied to the
robust design of a practical inverse problem with satisfactory results.
