Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation

Raffi Kamalian; Ying Zhang; Hideyuki Takagi; Alice M. Agogino

doi:10.1007/11739685_45

Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation

Raffi Kamalian, Ying Zhang, Hideyuki Takagi, Alice M. Agogino

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

5 Citations (Scopus)

Abstract

A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, an alternate implementation that requires a reduced amount of human interaction is proposed. The method is applied to a multi-objective genetic algorithm, with the human in a supervisory role, providing evaluation only every n^th-generation. Human interaction is applied to the evolution process by means of Pareto-rank shifting for the fitness calculation used in selection. The results of a test on 13 users shows that this IEC method can produce statistically significant better MEMS resonators than fully automated non-interactive evolutionary approaches.

Original language	English
Title of host publication	Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers
Pages	428-437
Number of pages	10
DOIs	https://doi.org/10.1007/11739685_45
Publication status	Published - 2006
Event	4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: Aug 18 2005 → Aug 21 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3930 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	8/18/05 → 8/21/05

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11739685_45

Cite this

Kamalian, R., Zhang, Y., Takagi, H., & Agogino, A. M. (2006). Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation. In Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers (pp. 428-437). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3930 LNAI). https://doi.org/10.1007/11739685_45

Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation. / Kamalian, Raffi; Zhang, Ying; Takagi, Hideyuki et al.

Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. 2006. p. 428-437 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3930 LNAI).

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

Kamalian, R, Zhang, Y, Takagi, H & Agogino, AM 2006, Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation. in Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3930 LNAI, pp. 428-437, 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 8/18/05. https://doi.org/10.1007/11739685_45

Kamalian R, Zhang Y, Takagi H, Agogino AM. Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation. In Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. 2006. p. 428-437. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11739685_45

Kamalian, Raffi ; Zhang, Ying ; Takagi, Hideyuki et al. / Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation. Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. 2006. pp. 428-437 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8db39648e7bc44328ee8b70ca4ba3452,

title = "Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation",

abstract = "A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, an alternate implementation that requires a reduced amount of human interaction is proposed. The method is applied to a multi-objective genetic algorithm, with the human in a supervisory role, providing evaluation only every nth-generation. Human interaction is applied to the evolution process by means of Pareto-rank shifting for the fitness calculation used in selection. The results of a test on 13 users shows that this IEC method can produce statistically significant better MEMS resonators than fully automated non-interactive evolutionary approaches.",

author = "Raffi Kamalian and Ying Zhang and Hideyuki Takagi and Agogino, {Alice M.}",

year = "2006",

doi = "10.1007/11739685_45",

language = "English",

isbn = "3540335846",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "428--437",

booktitle = "Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers",

}

TY - GEN

T1 - Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation

AU - Kamalian, Raffi

AU - Zhang, Ying

AU - Takagi, Hideyuki

AU - Agogino, Alice M.

PY - 2006

Y1 - 2006

N2 - A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, an alternate implementation that requires a reduced amount of human interaction is proposed. The method is applied to a multi-objective genetic algorithm, with the human in a supervisory role, providing evaluation only every nth-generation. Human interaction is applied to the evolution process by means of Pareto-rank shifting for the fitness calculation used in selection. The results of a test on 13 users shows that this IEC method can produce statistically significant better MEMS resonators than fully automated non-interactive evolutionary approaches.

AB - A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, an alternate implementation that requires a reduced amount of human interaction is proposed. The method is applied to a multi-objective genetic algorithm, with the human in a supervisory role, providing evaluation only every nth-generation. Human interaction is applied to the evolution process by means of Pareto-rank shifting for the fitness calculation used in selection. The results of a test on 13 users shows that this IEC method can produce statistically significant better MEMS resonators than fully automated non-interactive evolutionary approaches.

UR - http://www.scopus.com/inward/record.url?scp=33745791334&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745791334&partnerID=8YFLogxK

U2 - 10.1007/11739685_45

DO - 10.1007/11739685_45

M3 - Conference contribution

AN - SCOPUS:33745791334

SN - 3540335846

SN - 9783540335849

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 428

EP - 437

BT - Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers

T2 - 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005

Y2 - 18 August 2005 through 21 August 2005

ER -

Evolutionary synthesis of micromachines using supervisory multiobjective interactive evolutionary computation

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this