Optimum design of balanced SAW filters using multi-objective differential evolution

Authors:
Kiyoharu Tagawa;Yukinori Sasaki;Hiroyuki Nakamura
Affiliations:
Kinki University, Higashi, Osaka, Japan;Panasonic Electronic Devices Co., Ltd., Kadoma, Osaka, Japan;Panasonic Electronic Devices Co., Ltd., Kadoma, Osaka, Japan
Venue:
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Year:
2010

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Abstract

Three Multi-Objective Differential Evolutions (MODEs) that differ in their selection schemes are applied to a real-world application, i.e., the multi-objective optimum design of the balanced Surface Acoustic Wave (SAW) filter used in cellular phones. In order to verify the optimality of the Pareto-optimal solutions obtained by the best MODE, those solutions are also compared with the solutions obtained by the weighted sum method. Besides, from the Principal Component Analysis (PCA) of the Pareto-optimal solutions, an obvious relationship between the objective function space and the design parameter space is disclosed.