本研究的目的找出一組可精確描述乳酸生產過程的數學模式，使用基因演算法去求得數學模式中的參數，接著將最佳的數學模式應用文獻中的最佳化方式找出最適合的反應器與最適化的操作條件，研究各種不同的目標函數所適用的反應器與進料流率、出料流率、進料濃度、進料改變時間、出料改變時間，使用的搜尋方法是使用基因演算法，在真實程序中出現不可量測的干擾，可透過程序控制來解決這問題，使用比例積分控制和適應性控制策略達到最佳的產量。

The purpose of this study to find a set of lactic acid production process can be accurately described by a mathematical model, parameter of model were obtained using Genetic Algorithms. Next, the best application of optimized mathematical models in the literature to identify the most suitable reactor and optimal operating conditions. According to different objective function to find the best operating model, feed flow rate, outflow rate, feed concentration, switching times for feed flow and switching times for outflow, stages are optimized by GA. In the plant, they have several disturbances, which are not measured and predicted. The problems are solved by process control. The aim is which achieved the best product amount using by proportional integral control and adaptive control strategies.

[中文]
1. 賴松宜，「聚羥基丁酸酯製造程序之建模與最佳化」，碩士論文，台灣科技大學，台北(2011)。
2. 許智凱，「研發乳酸連續醱酵製程」，碩士論文，台灣科技大學，台北(2010)。

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