Abstract: In this paper, a new optimization method——chaos optimization combined with exact non-differentiable penalty function is proposed for solving chemical process optimization problems which are often regarded as nonlinear constraint optimization problems.The construction of the non-differentiable penalty function is convenient, and chaos optimization method does not need continuity and differentiability of the optimization problems, so the constraint optimization problems can be first transformed into non-constraint ones by virtue of non-differentiable penalty function, and then be solved by chaos search method. The newly proposed method is applied to benzene-toluene flash vaporization process optimization for simulation study. Results show that, the new method is not only simple and easy to implement, but also has both high accuracy and reliability. It is an effective way for solving chemical process optimization problems.

摘要： 提出利用混沌搜索方法结合精确不可微罚函数求解约束优化问题的新方法 ,并将该方法用于闪蒸过程优化 .结果表明 ,该方法算法简单 ,实现容易 ,求解精度和可靠性较高 ,是解决化工优化问题的有效方法 .