Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm

Xiao Feng Zhang; Zhi Jing Zhang; Zhi Peng Ye; Yan Li; Xin Jin

doi:10.4028/www.scientific.net/AMM.427-429.1337

Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm

Xiao Feng Zhang, Zhi Jing Zhang, Zhi Peng Ye, Yan Li, Xin Jin

School of Mechanical Engineering

Beijing Institute of Technology

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

Abstract

For solving the problem of non-silicon MEMS assembly, the framework of Modular Desktop Micro Assembly System (MDMAS) is proposed, the fundamental principles and functional modular partition method of which is described in this paper. Based on it, the structure-capability correlation matrix and structure autocorrelation matrix are established, and the multi-objective optimization design model is constructed. In addition, GA (genetic algorithm) is introduced for best solution searching, and the proposed design method is validated.

Original language	English
Title of host publication	Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry
Pages	1337-1341
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.427-429.1337
Publication status	Published - 2013
Event	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 - Chongqing, China Duration: 14 Sept 2013 → 15 Sept 2013

Publication series

Name	Applied Mechanics and Materials
Volume	427-429
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013
Country/Territory	China
City	Chongqing
Period	14/09/13 → 15/09/13

Keywords

Desktop Micro-Assembly
Genetic algorithm
Modularization
Optimization design

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10.4028/www.scientific.net/AMM.427-429.1337

Cite this

Zhang, X. F., Zhang, Z. J., Ye, Z. P., Li, Y., & Jin, X. (2013). Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm. In Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry (pp. 1337-1341). (Applied Mechanics and Materials; Vol. 427-429). https://doi.org/10.4028/www.scientific.net/AMM.427-429.1337

@inproceedings{988186e42d764938a215b35d14a7e241,

title = "Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm",

abstract = "For solving the problem of non-silicon MEMS assembly, the framework of Modular Desktop Micro Assembly System (MDMAS) is proposed, the fundamental principles and functional modular partition method of which is described in this paper. Based on it, the structure-capability correlation matrix and structure autocorrelation matrix are established, and the multi-objective optimization design model is constructed. In addition, GA (genetic algorithm) is introduced for best solution searching, and the proposed design method is validated.",

keywords = "Desktop Micro-Assembly, Genetic algorithm, Modularization, Optimization design",

author = "Zhang, {Xiao Feng} and Zhang, {Zhi Jing} and Ye, {Zhi Peng} and Yan Li and Xin Jin",

year = "2013",

doi = "10.4028/www.scientific.net/AMM.427-429.1337",

language = "English",

isbn = "9783037858905",

series = "Applied Mechanics and Materials",

pages = "1337--1341",

booktitle = "Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry",

note = "2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 ; Conference date: 14-09-2013 Through 15-09-2013",

}

Zhang, XF, Zhang, ZJ, Ye, ZP, Li, Y & Jin, X 2013, Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm. in Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. Applied Mechanics and Materials, vol. 427-429, pp. 1337-1341, 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013, Chongqing, China, 14/09/13. https://doi.org/10.4028/www.scientific.net/AMM.427-429.1337

Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm. / Zhang, Xiao Feng; Zhang, Zhi Jing; Ye, Zhi Peng et al.
Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. 2013. p. 1337-1341 (Applied Mechanics and Materials; Vol. 427-429).

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

TY - GEN

T1 - Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm

AU - Zhang, Xiao Feng

AU - Zhang, Zhi Jing

AU - Ye, Zhi Peng

AU - Li, Yan

AU - Jin, Xin

PY - 2013

Y1 - 2013

N2 - For solving the problem of non-silicon MEMS assembly, the framework of Modular Desktop Micro Assembly System (MDMAS) is proposed, the fundamental principles and functional modular partition method of which is described in this paper. Based on it, the structure-capability correlation matrix and structure autocorrelation matrix are established, and the multi-objective optimization design model is constructed. In addition, GA (genetic algorithm) is introduced for best solution searching, and the proposed design method is validated.

AB - For solving the problem of non-silicon MEMS assembly, the framework of Modular Desktop Micro Assembly System (MDMAS) is proposed, the fundamental principles and functional modular partition method of which is described in this paper. Based on it, the structure-capability correlation matrix and structure autocorrelation matrix are established, and the multi-objective optimization design model is constructed. In addition, GA (genetic algorithm) is introduced for best solution searching, and the proposed design method is validated.

KW - Desktop Micro-Assembly

KW - Genetic algorithm

KW - Modularization

KW - Optimization design

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U2 - 10.4028/www.scientific.net/AMM.427-429.1337

DO - 10.4028/www.scientific.net/AMM.427-429.1337

M3 - Conference contribution

AN - SCOPUS:84886391765

SN - 9783037858905

T3 - Applied Mechanics and Materials

SP - 1337

EP - 1341

BT - Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry

T2 - 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013

Y2 - 14 September 2013 through 15 September 2013

ER -

Optimization design of Modular Desktop Micro-Assembly System based on genetic algorithm

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Keywords

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