Multi-objective optimum design of balanced SAW filters using generalized differential evolution

Authors:
Kiyoharu Tagawa
Affiliations:
School of Science and Engineering, Kinki University, Higashi-Osaka, Japan
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2009

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Abstract

A multi-objective optimum design method of the balanced Surface Acoustic Wave (SAW) filter is proposed. The frequency response characteristics of the balanced SAW filters are governed primarily by their geometrical structures. Besides, specifications for a balanced SAW filter is given by using several criteria. Therefore, in order to realize desirable frequency response characteristics, the structural design of the balanced SAW filter is formulated as a constrained multi-objective optimization problem. Then a recent Evolutionary Multi-objective Optimization (EMO) algorithm, which is called Generalized Differential Evolution 3 (GED3), is applied to the multi-objective optimization problem. Furthermore, in order to clarify the tradeoff relationship among the objective functions of the multi-objective optimization problem, Principal Component Analysis (PCA) is used to assess the set of the non-dominated solutions obtained by GDE3. Finally, the proposed optimum design method is demonstrated in the three- and the two-objective optimum design problems of a practical balanced SAW filter.