Drl-based control logic design method for continuous microfluidic biochips
AssigneeFuzhou University
InventorsWenzhong GUO, Huayang CAI, Genggeng LIU, Xing HUANG, Guolong CHEN
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Abstract
A DRL-based control logic design method for continuous microfluidic biochips is provided. Firstly, an integer linear programming model is for effectively solving multi-channel switching calculation to minimize the number of time slices required by the control logic. Secondly, a control logic synthesis method based on deep reinforcement learning, which uses a double deep Q network and two Boolean logic simplification techniques to find a more effective pattern allocation scheme for the control logic.
Claims8
A deep reinforcement learning (DRL)-based control logic design method for continuous microfluidic biochips, wherein the DRL-based control logic design method comprises the following steps:
- S1. calculating a multi-channel switching scheme:
- constructing an integer linear programming model to minimize a number of time slices required by a control logic, wherein the multi-channel switching scheme is obtained;
- S2. allocating control patterns:
- after obtaining the multi-channel switching scheme, allocating a corresponding control pattern for each multi-channel combination in the multi-channel switching scheme;
- and
- S3. performing a PatternActor optimization:
- constructing a control logic synthesis method based on DRL, and optimizing a generated control pattern allocation scheme to minimize a number of control valves used.
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