research-article

Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm

Authors: Chen Jiang, Bo Yuan, Tsung-Yi Ho, Xin YaoAuthors Info & Claims

ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 26, Issue 6

Article No.: 42, Pages 1 - 22

https://doi.org/10.1145/3460230

Published: 28 June 2021 Publication History

Abstract

Digital microfluidic biochips (DMFBs) have been a revolutionary platform for automating and miniaturizing laboratory procedures with the advantages of flexibility and reconfigurability. The placement problem is one of the most challenging issues in the design automation of DMFBs. It contains three interacting NP-hard sub-problems: resource binding, operation scheduling, and module placement. Besides, during the optimization of placement, complex constraints must be satisfied to guarantee feasible solutions, such as precedence constraints, storage constraints, and resource constraints. In this article, a new placement method for DMFB is proposed based on an evolutionary algorithm with novel heuristic-based decoding strategies for both operation scheduling and module placement. Specifically, instead of using the previous list scheduler and path scheduler for decoding operation scheduling chromosomes, we introduce a new heuristic scheduling algorithm (called order scheduler) with fewer limitations on the search space for operation scheduling solutions. Besides, a new 3D placer that combines both scheduling and placement is proposed where the usage of the microfluidic array over time in the chip is recorded flexibly, which is able to represent more feasible solutions for module placement. Compared with the state-of-the-art placement methods (T-tree and 3D-DDM), the experimental results demonstrate the superiority of the proposed method based on several real-world bioassay benchmarks. The proposed method can find the optimal results with the minimum assay completion time for all test cases.

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Cited By

Yang ZYao YGuo XHuang PLi JChen YLiang X(2023)A Module Placement Method for Digital Microfluidic Biochips Based on Security DesignProceedings of the 2023 13th International Conference on Communication and Network Security10.1145/3638782.3638789(40-45)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3638782.3638789

Index Terms

Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm

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Published In

cover image ACM Transactions on Design Automation of Electronic Systems

ACM Transactions on Design Automation of Electronic Systems Volume 26, Issue 6

November 2021

218 pages

ISSN:1084-4309

EISSN:1557-7309

DOI:10.1145/3472284

Editor:
X. Sharon Hu
University of Notre Dame, USA

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Copyright © 2021 Association for Computing Machinery.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 28 June 2021

Accepted: 01 April 2021

Revised: 01 March 2021

Received: 01 September 2020

Published in TODAES Volume 26, Issue 6

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National Natural Science Foundation of China
Guangdong Provincial Key Laboratory
Program for Guangdong Introducing Innovative and Entrepreneurial Teams
Shenzhen Science and Technology Program

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Cited By

Yang ZYao YGuo XHuang PLi JChen YLiang X(2023)A Module Placement Method for Digital Microfluidic Biochips Based on Security DesignProceedings of the 2023 13th International Conference on Communication and Network Security10.1145/3638782.3638789(40-45)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3638782.3638789

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