琥珀酸(succinic acid)是很多石化品產的前驅物，因此利用生物技術方法生產，取代傳統的石化方式，本研究建立一組描述Actinobacillus succinogens生產琥珀酸過程的數學模式，使用基因演算法去求得參數，接下來使用最佳的數學模式，藉由基因演算法進行最適化操作條件的收尋，研究不同目標函數下的進料流率、出料流率、進料濃度、進料改變時間、出料改變時間。

Succinic acid is the precursor of petroleum products.Therefore,utilize biotechnological methods of production, to replace traditional reactions of petroleum,In the present study we conducted a set of Actinobacillus succinogensproduction process can be described by a mathematical model,parameter of model were obtained using Genetic Algorithms.Next, the best application of optimized mathematical models by Genetic Algorithms to find optimal operating conditions.According to different objective function to find the best feed flow rate, outflow rate, feed concentration, switching times for feed flow and switching times for outflow.

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