在過去有關化工廠水網路操作的研究中，如何提升給定程序彈性指標往往是討論的議題，一般而言，常用的翻修方法為（一）增加新鮮水供應上限；（二）加入或刪除連接管線；（三）加入新的處理單元。另外，值得注意的是以往在這方面的研究，大多是考慮單一溶質之情況，且採用經驗性人工法則來進行翻修。本研究則延伸考慮多溶質水網路，使用輔助管線超結構之數學規劃模式與遺傳演算法，來決定在既有的水網路中新加入管線的連接；最後，我們利用一系列案例來驗證此一方法的可行性。

In the past the study of water network operation in the chemical plant, it is a important issues how to improve the flexibility index of existing water networks. The general revamp options, i.e., (1) relaxation of the upper limit of freshwater supply rate, (2) inserting/deleting pipeline connections and (3) adding treatment units. Most of research study only one contaminant and use the heuristical revamp strategy to improve operational flexibility in the past. In this thesis, we use a new mathematical programing and genetic algorithm to determine inserting pipeline connections in the multi-contaminant water networks. Several case studies are presented in this thesis to demonstrate the effectiveness of the method.

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