Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation

Raffi Kamalian; Hideyuki Takagi; Alice M. Agogino

doi:10.1007/978-3-540-24855-2_114

Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation

Raffi Kamalian, Hideyuki Takagi, Alice M. Agogino

Research output: Chapter in Book/Report/Conference proceeding › Chapter

59 Citations (Scopus)

Abstract

We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using human evaluation of the final designs and a test for statistical significance of the improvements. The addition of IEC produces superior designs with fewer potential design or manufacturing problems than those produced through the evolutionary synthesis software alone as it takes advantage of the human ability to perceive design flaws that cannot currently be simulated. A user study has been performed to compare the effectiveness of the IEC enhanced software with the non-interactive software. The results show that the IEC-enhanced synthesis software creates a statistically significant greater number of designs rated best by users.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Riccardo Poli, Owen Holland, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James Foster, Mark Harman, Pier Luca Lanzi, Lee Spector, Andrea G. B. Tettamanzi, Dirk Thierens, Andrew M. Tyrrell
Publisher	Springer Verlag
Pages	1030-1041
Number of pages	12
ISBN (Print)	3540223436
DOIs	https://doi.org/10.1007/978-3-540-24855-2_114
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3103
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-24855-2_114

Cite this

Kamalian, R., Takagi, H., & Agogino, A. M. (2004). Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. In R. Poli, O. Holland, W. Banzhaf, H-G. Beyer, E. Burke, P. Darwen, D. Dasgupta, D. Floreano, J. Foster, M. Harman, P. L. Lanzi, L. Spector, A. G. B. Tettamanzi, D. Thierens, & A. M. Tyrrell (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 1030-1041). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3103). Springer Verlag. https://doi.org/10.1007/978-3-540-24855-2_114

Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. / Kamalian, Raffi; Takagi, Hideyuki; Agogino, Alice M.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Riccardo Poli; Owen Holland; Wolfgang Banzhaf; Hans-Georg Beyer; Edmund Burke; Paul Darwen; Dipankar Dasgupta; Dario Floreano; James Foster; Mark Harman; Pier Luca Lanzi; Lee Spector; Andrea G. B. Tettamanzi; Dirk Thierens; Andrew M. Tyrrell. Springer Verlag, 2004. p. 1030-1041 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3103).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Kamalian, R, Takagi, H & Agogino, AM 2004, Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. in R Poli, O Holland, W Banzhaf, H-G Beyer, E Burke, P Darwen, D Dasgupta, D Floreano, J Foster, M Harman, PL Lanzi, L Spector, AGB Tettamanzi, D Thierens & AM Tyrrell (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3103, Springer Verlag, pp. 1030-1041. https://doi.org/10.1007/978-3-540-24855-2_114

Kamalian R, Takagi H, Agogino AM. Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. In Poli R, Holland O, Banzhaf W, Beyer H-G, Burke E, Darwen P, Dasgupta D, Floreano D, Foster J, Harman M, Lanzi PL, Spector L, Tettamanzi AGB, Thierens D, Tyrrell AM, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 1030-1041. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24855-2_114

Kamalian, Raffi ; Takagi, Hideyuki ; Agogino, Alice M. / Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Riccardo Poli ; Owen Holland ; Wolfgang Banzhaf ; Hans-Georg Beyer ; Edmund Burke ; Paul Darwen ; Dipankar Dasgupta ; Dario Floreano ; James Foster ; Mark Harman ; Pier Luca Lanzi ; Lee Spector ; Andrea G. B. Tettamanzi ; Dirk Thierens ; Andrew M. Tyrrell. Springer Verlag, 2004. pp. 1030-1041 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation

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