微流體生物晶片(microfluidic biochip)已經成為了非常受歡迎的新興科技，它可以執行各式生物診斷和實驗在一塊晶片上。使用微流體
生物晶片有許多好處，像是減少使用試劑的計量、較少人為出錯的
可能性、較快的反應速度、以及較高的產出等。然而在微流體生物
晶片的製造或實驗的過程中，有可能會損壞晶片本身，使用損壞的
晶片將會浪費昂貴的試劑，更可怕的是安全上的疑慮，像是癌症診
斷出錯。因次，我們決定要對連續型微流體生物晶片增加可容錯
性，既使出現了一些常見的錯誤仍可正確運作。今年初有一篇論文
也在研究這個題目，但是他的方法是基於退火演算法(simulated
annealing (SA))去合成微流體生物晶片，此方法非常耗時又容易得到
一個並不是很好的結果。因此我們提出一個逐步優化演算法來處理
這個問題，實驗數據指出我們能比前者平均快約88%的執行時間。

Microfluidic-based lab-on-a-chips have emerged as a popular technology for implementation
of dierent biochemical test protocols used in medical diagnostics. However, in the
manufacturing process or during operation of such chips, some faults may occur that leads
to damage of the chip, which in turn results in wastage of expensive reagent fluids. In order
to make the chip fault-tolerant, the state-of-the-art technique adopts simulated annealing
(SA) based approach to synthesize a fault-tolerant architecture. However, the SA method
is time consuming and non-deterministic with over-simplified model that usually derive
sub-optimal results. Thus, we propose a progressive optimization procedure for the synthesis
of fault-tolerant flow-based microfluidic biochips. Simulation results demonstrate that
our method is ecient compared to the state-of-the-art techniques and can provide eective
solutions in 88% (on average) less CPU time compared to state-of-the-art technique over
three benchmark bioprotocols.

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