IMPROVED INFEASIBLE PATH OPTIMIZATION FOR SEQUENTIAL MODULAR SIMULATORS .2. THE OPTIMIZATION ALGORITHM

The author deal with theoretical and computational improvements to the optimization algorithm. Because recycle convergence and optimization occur simultaneously, the consequences of algorithmic failure can be severe, since little useful information is recoverable. The authors consider and improve several factors that affect the efficiency and robustness of the successive quadratic programming (SQP) optimization algorithm. The improvements are demonstrated on several small problems as well as on three chemical process problems. The results show significant improvement in performance as predicted from the theory.