ABSTRACT
This chapter discusses a complete methodology that allows optimizing any process modeled in Aspen Plus. The essence of the method is based on the capacity of Aspen Plus, MATLAB, and Microsoft Excel to be linked, exploding the capacities of each software. The optimization toolbox offers some stochastic optimization algorithms, such as simulated annealing and genetic algorithms in both mono-objective and multi-objective optimization. To link MATLAB as the main program to optimize any model in Aspen Plus is indeed an easy task; however, it is important to do this in an orderly manner. The lower and upper boundaries should be filled similar to that done in mono-objective optimization. The chapter presents a stochastic approach. This type of approach helps to solve several potentially nonconvex and highly nonlinear problems. Considering a successful optimization, in the sheet “Results,” the entire row will be copied, including the initialization vector declared as input data, the results, run status, output data, and objective function.
