Distillation Process Optimization by the Strategy of Chance Constraint Programming with Recourse

摘要

In this work, a strategy of chance constraint programming with recourse is proposed forrnthe distillation process optimization under uncertainty. A hybrid algorithm both ofrnMonte Carlo integration and improved Benders decomposition strategies with SQP isrnstudied to solve the uncertain optimization model. 1-hexene separation process isrnoptimized as case study to illustrate the feasibility of the proposed strategy.