Heterogeneous parallel-distributed processing applied to process engineering

Abstract

The main goal of this thesis was to design new parallel processing strategies specially conceived for distributed environments in order to solve numerical and structural problems from the field of process systems engineering more efficiently. More specifically, the numerical sample problem addressed in this work was the optimization of nonlinear objective functions subjected to sets of nonlinear constraints, while the structural sample problem was the development of parallel-distributed structural techniques for process instrumentation design