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- W28590439 abstract "Abstract Droplet based microfluidic devices are widely used in protein crystallization, high throughput screening and biochemical assays. These devices are complex with even a simple loop device exhibiting varied nonlinear behavior. Therefore, any approach for engineering optimal multi-functional devices has to deal with the vast design space that has to be potentially explored for a solution. As a result, there is a need for efficient algorithms that can handle this complexity. In this paper, GA is proposed as a promising solution approach for this problem. We demonstrate the power of the proposed GA methodology in designing multi-functional ladder devices that are extremely difficult to uncover using expensive experimental trial-and-error loops. The GA methodology can be further enhanced for designing other complex microfluidic systems." @default.
- W28590439 created "2016-06-24" @default.
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- W28590439 date "2012-01-01" @default.
- W28590439 modified "2023-09-25" @default.
- W28590439 title "A Genetic Algorithm (GA) based rational approach for design of discrete microfluidic networks" @default.
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- W28590439 doi "https://doi.org/10.1016/b978-0-444-59519-5.50102-7" @default.
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