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Multi-objective optimization of three-phase batch extractive distillation

机译:三相间歇萃取精馏的多目标优化

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A multi-objective genetic algorithm with constraints is used to obtain the Pareto front of heterogeneous extractive batch distillation (HEBD). Genetic algorithm (NSGA-II) real-coded in MATLAB is coupled to a commercial simulator ProSim Batch to consider optimization variables related to the energy consumption of the process. Illustration is done by the separation of chloroform - methanol mixture with water considering both a constant and a two piecewise constant policy for all optimization variables.
机译:使用具有约束的多目标遗传算法来获得非均相萃取间歇蒸馏(HEBD)的帕累托前沿。在MATLAB中进行实数编码的遗传算法(NSGA-II)与商业仿真器ProSim Batch耦合,以考虑与过程能耗相关的优化变量。通过考虑所有优化变量的一个常数和两个分段常数的策略,通过水与氯仿-甲醇混合物的分离来进行说明。

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