Multiobjective optimization of cyclic adsorption processes

This paper focuses on the development of a multiobjective optimization approach and the first application to highly nonlinear cyclic adsorption processes such as thermal swing adsorption (TSA) and rapid pressure swing adsorption (RPSA). The new method was modified from the conventional summation of a weighted objective function (SWOF) method, which is one of the most traditional and the simplest way of multiobjective optimization programming. The new modified SWOF technique eliminates the main drawbacks of the conventional SWOF and approximates the Pareto curve efficiently with several Pareto points as explained by the two examples (TSA and RPSA). The sensitivity of these processes was also analyzed.