Optimal microchannel design by genetic algorithms

Hyunwoo Bang; Won Gu Lee; Junha Park; Hoyoung Yun; Joonmo Lee; Seok Chung; Keunchang Cho; Chanil Chung; Dong Chul Han; Jun Keun Chang

Optimal microchannel design by genetic algorithms

Hyunwoo Bang
, Won Gu Lee
, Junha Park
, Hoyoung Yun
, Joonmo Lee
, Seok Chung
, Keunchang Cho
, Chanil Chung
, Dong Chul Han
, Jun Keun Chang

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

Abstract

The design of a microsystem can evolve through the genetic algorithm (GA), a digital Darwinism. We applied the GA while optimizing a particle-suspended microchannel. A heuristic particle dynamics simulation was used for the fitness evaluation of the GA. The GA has been implemented to run in parallel on multiple computers connected via TCP/IP protocols using JAVA and SQL database technology. A commercial microchannel for imaging flow cytometry application has been selected for this optimization.

Original language	English
Title of host publication	Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences
Publisher	Japan Academic Association Inc
Pages	281-283
Number of pages	3
Publication status	Published - 2006 Jan 1
Externally published	Yes
Event	10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006 - Tokyo, Japan Duration: 2006 Nov 5 → 2006 Nov 9

Other

Other	10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006
Country/Territory	Japan
City	Tokyo
Period	06/11/5 → 06/11/9

ASJC Scopus subject areas

Chemical Engineering (miscellaneous)
Bioengineering

Cite this

Bang, H., Lee, W. G., Park, J., Yun, H., Lee, J., Chung, S., Cho, K., Chung, C., Han, D. C., & Chang, J. K. (2006). Optimal microchannel design by genetic algorithms. In Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences (pp. 281-283). Japan Academic Association Inc.

Optimal microchannel design by genetic algorithms. / Bang, Hyunwoo; Lee, Won Gu; Park, Junha et al.
Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Japan Academic Association Inc, 2006. p. 281-283.

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

Bang, H, Lee, WG, Park, J, Yun, H, Lee, J, Chung, S, Cho, K, Chung, C, Han, DC & Chang, JK 2006, Optimal microchannel design by genetic algorithms. in Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Japan Academic Association Inc, pp. 281-283, 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006, Tokyo, Japan, 06/11/5.

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title = "Optimal microchannel design by genetic algorithms",

abstract = "The design of a microsystem can evolve through the genetic algorithm (GA), a digital Darwinism. We applied the GA while optimizing a particle-suspended microchannel. A heuristic particle dynamics simulation was used for the fitness evaluation of the GA. The GA has been implemented to run in parallel on multiple computers connected via TCP/IP protocols using JAVA and SQL database technology. A commercial microchannel for imaging flow cytometry application has been selected for this optimization.",

keywords = "Design optimization, Genetic algorithm, Microchannel",

author = "Hyunwoo Bang and Lee, \{Won Gu\} and Junha Park and Hoyoung Yun and Joonmo Lee and Seok Chung and Keunchang Cho and Chanil Chung and Han, \{Dong Chul\} and Chang, \{Jun Keun\}",

year = "2006",

month = jan,

day = "1",

language = "English",

pages = "281--283",

booktitle = "Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences",

publisher = "Japan Academic Association Inc",

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T1 - Optimal microchannel design by genetic algorithms

AU - Bang, Hyunwoo

AU - Lee, Won Gu

AU - Park, Junha

AU - Yun, Hoyoung

AU - Lee, Joonmo

AU - Chung, Seok

AU - Cho, Keunchang

AU - Chung, Chanil

AU - Han, Dong Chul

AU - Chang, Jun Keun

PY - 2006/1/1

Y1 - 2006/1/1

N2 - The design of a microsystem can evolve through the genetic algorithm (GA), a digital Darwinism. We applied the GA while optimizing a particle-suspended microchannel. A heuristic particle dynamics simulation was used for the fitness evaluation of the GA. The GA has been implemented to run in parallel on multiple computers connected via TCP/IP protocols using JAVA and SQL database technology. A commercial microchannel for imaging flow cytometry application has been selected for this optimization.

AB - The design of a microsystem can evolve through the genetic algorithm (GA), a digital Darwinism. We applied the GA while optimizing a particle-suspended microchannel. A heuristic particle dynamics simulation was used for the fitness evaluation of the GA. The GA has been implemented to run in parallel on multiple computers connected via TCP/IP protocols using JAVA and SQL database technology. A commercial microchannel for imaging flow cytometry application has been selected for this optimization.

KW - Design optimization

KW - Genetic algorithm

KW - Microchannel

UR - https://www.scopus.com/pages/publications/84902532057

UR - https://www.scopus.com/pages/publications/84902532057#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:84902532057

SP - 281

EP - 283

BT - Micro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences

PB - Japan Academic Association Inc

T2 - 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006

Y2 - 5 November 2006 through 9 November 2006

ER -

Optimal microchannel design by genetic algorithms

Abstract

Other

ASJC Scopus subject areas

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