Multi-objective Optimum Design of SAW Filters Using Differential Evolution

• Tagawa Kiyoharu

  School of Science and Engineering, Kinki University

• Sasaki Yukinori

  Panasonic Electronic Devices Co., Ltd.

• Nakamura Hiroyuki

  Panasonic Electronic Devices Co., Ltd.

Bibliographic Information

Other Title

• Differential EvolutionによるSAWフィルタの多目的最適設計
• Differential Evolution ニ ヨル SAW フィルタ ノ タモクテキ サイテキ セッケイ

Abstract

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.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 130 (7), 1238-1246, 2010

  The Institute of Electrical Engineers of Japan

Keywords

• evolutionary computation
• differential evolution
• multi-objective optimization
• SAW filter

Details

• CRID: 1390001204609090560
• NII Article ID: 10026865697
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.130.1238
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 10741437
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10741437
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/130/7/130_7_1238/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed