Multi-objective Optimization of Industrial Purified Terephthalic Acid Oxidation Process
摘要
Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is carried out in this paper by using a process model that has been proved to describe industrial process quite well. The model is a semiempirical structured into two series ideal continuously stirred tank reactor (CSTR) models. The optimal objectives include maximizing the yield or inlet rate and minimizing the concentration of 4-carboxy-benzaldhyde, which is the main undesirable intermediate product in the reaction process. The multi-objective optimization algorithm applied in this study is non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ). The performance of NSGA-II is further illustrated by application to the title process.
引用本文（GB/T 7714）
牟盛静, 苏宏业, 古勇, 等. Multi-objective Optimization of Industrial Purified Terephthalic Acid Oxidation Process[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2003.
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