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 proceedingConference 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 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.

Original languageEnglish
Title of host publicationAdvances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers
Pages428-437
Number of pages10
DOIs
Publication statusPublished - Jul 14 2006
Event4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: Aug 18 2005Aug 21 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3930 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Machine Learning and Cybernetics, ICMLC 2005
CountryChina
CityGuangzhou
Period8/18/058/21/05

Fingerprint

Interactive Evolutionary Computation
Evolutionary algorithms
Synthesis
MEMS
Micro-electro-mechanical Systems
Multi-objective Genetic Algorithm
Resonators
Resonator
Genetic algorithms
Pareto
Interaction
Fatigue of materials
Alternate
Fatigue
Fitness
Human
Evaluation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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; Agogino, Alice M.

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 proceedingConference 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)). https://doi.org/10.1007/11739685_45
Kamalian, Raffi ; Zhang, Ying ; Takagi, Hideyuki ; Agogino, Alice M. / 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",
month = "7",
day = "14",
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 - 2006/7/14

Y1 - 2006/7/14

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

ER -