Association for Computing Machinery (ACM)
,  pages 59-60

Generative design of microfluidic channel geometry using evolutionary approach

Publication type: Proceedings Article
Publication date: 2021-07-07
Association for Computing Machinery (ACM)
Abstract
In this paper, we propose the evolutionary approach for the generative design of microfluidic channel geometry. Sets of candidate solutions for geometry of single cell analysis devices can be used to simplify the decision-making process for micro-devices design. The algorithmic core is based on continuous optimization of coordinates of a polygons set. The proposed approach is validated experimentally with the fabricated microfluidic device. The experiments confirm the correctness and effectiveness of the proposed methods.
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Nikitin N. O. et al. Generative design of microfluidic channel geometry using evolutionary approach // GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. 2021. pp. 59-60.
GOST all authors (up to 50) Copy
Nikitin N. O., Hvatov A., Polonskaia I. S., Kalyuzhnaya A. V., Grigorev G. V., WANG X., Qian X. Generative design of microfluidic channel geometry using evolutionary approach // GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. 2021. pp. 59-60.
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TY - CPAPER
DO - 10.1145/3449726.3462740
UR - https://doi.org/10.1145/3449726.3462740
TI - Generative design of microfluidic channel geometry using evolutionary approach
T2 - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
AU - Nikitin, Nikolay O
AU - Hvatov, Alexander
AU - Polonskaia, Iana S
AU - Kalyuzhnaya, Anna V
AU - Grigorev, Georgii V
AU - WANG, XIAOHAO
AU - Qian, Xiang
PY - 2021
DA - 2021/07/07
PB - Association for Computing Machinery (ACM)
SP - 59-60
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@inproceedings{2021_Nikitin,
author = {Nikolay O Nikitin and Alexander Hvatov and Iana S Polonskaia and Anna V Kalyuzhnaya and Georgii V Grigorev and XIAOHAO WANG and Xiang Qian},
title = {Generative design of microfluidic channel geometry using evolutionary approach},
year = {2021},
pages = {59--60},
month = {jul},
publisher = {Association for Computing Machinery (ACM)}
}