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 proceedingConference 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 languageEnglish
Title of host publicationMicro Total Analysis Systems - Proceedings of MicroTAS 2006 Conference: 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PublisherJapan Academic Association Inc
Pages281-283
Number of pages3
Publication statusPublished - 2006 Jan 1
Externally publishedYes
Event10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006 - Tokyo, Japan
Duration: 2006 Nov 52006 Nov 9

Other

Other10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006
CountryJapan
CityTokyo
Period06/11/506/11/9

ASJC Scopus subject areas

  • Chemical Engineering (miscellaneous)
  • Bioengineering

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  • 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.