Multi-objective optimum design of SAW filters using differential evolution

被引：0

作者：

Tagawa K. ^{[1
]}

Sasaki Y. ^{[2
]}

Nakamura H. ^{[2
]}

机构：

[1] School of Science and Engineering, Kinki University, Higashi-Osaka City 577-8502, 3-4-1, Kowakae

[2] Panasonic Electronic Devices Co., Ltd., Kadoma City, Osaka 571-8506, 1006, Kadoma

来源：

IEEJ Transactions on Electronics, Information and Systems | 2010年 / 130卷 / 07期

关键词：

Differential evolution; Evolutionary computation; Multi-objective optimization; SAW filter;

D O I：

10.1541/ieejeiss.130.1238

中图分类号：

学科分类号：

摘要：

The structural design of Surface Acoustic Wave (SAW) filters is formulated as a constrained multi-objective optimization problem. Then three Evolutionary Multi-criterion Optimization (EMO) algorithms based on Differential Evolution (DE), namely, Multi-Objective DE (MODE), Non-dominated Sorting DE (NSDE), and Generalized DE 3 (GDE3), are applied to the three- and two-objective optimization problems of a balanced SAW filter. In order to compare the performances of the above EMO algorithms, several criteria including hypervolume are evaluated. As a result, it is shown that the performance of the EMO algorithm depends on the number of objective functions. Besides, in order to clarify the tradeoff relationship among the objective functions of the three-objective optimization problem, Principal Component Analysis (PCA) is employed. © 2010 The Institute of Electrical Engineers of Japan.

引用

页码：1238 / 1246+20

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