Article

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

Authors:

Kiyoharu Tagawa,

Yukinori Sasaki,

Hiroyuki NakamuraAuthors Info & Claims

SEAL'10: Proceedings of the 8th international conference on Simulated evolution and learning

Pages 466 - 475

Published: 01 December 2010 Publication History

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.

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Cited By

Tagawa KImamura AAlba E(2013)Many-hard-objective optimization using differential evolution based on two-stage constraint-handlingProceedings of the 15th annual conference on Genetic and evolutionary computation10.1145/2463372.2463446(671-678)Online publication date: 6-Jul-2013
https://dl.acm.org/doi/10.1145/2463372.2463446
Tagawa KShimizu HNakamura HLanzi P(2011)Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processorsProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001667(657-664)Online publication date: 12-Jul-2011
https://dl.acm.org/doi/10.1145/2001576.2001667

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Published In

cover image Guide Proceedings

SEAL'10: Proceedings of the 8th international conference on Simulated evolution and learning

December 2010

715 pages

ISBN:3642172970

Editors:
Kalyanmoy Deb
Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
,
Arnab Bhattacharya
Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
,
Partha Chakroborty
Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
,
Joydeep Dutta
Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
,
Santosh K. Gupta
Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

Sponsors

ESTECO: ESTECO
CSIR: CSIR
IITK: Indian Institute of Technology Kanpur
GE: General Electric
KanGAL: Kanpur Genetic Algorithms Laboratory

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 December 2010

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Cited By

Tagawa KImamura AAlba E(2013)Many-hard-objective optimization using differential evolution based on two-stage constraint-handlingProceedings of the 15th annual conference on Genetic and evolutionary computation10.1145/2463372.2463446(671-678)Online publication date: 6-Jul-2013
https://dl.acm.org/doi/10.1145/2463372.2463446
Tagawa KShimizu HNakamura HLanzi P(2011)Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processorsProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001667(657-664)Online publication date: 12-Jul-2011
https://dl.acm.org/doi/10.1145/2001576.2001667

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