Component-based implementation of a dynamic optimization algorithm using adaptive parameterization

Publisher Summary This chapter presents a component software technique applied to a dynamic optimization algorithm based on sequential approach. The implementation of the algorithm allows the optimization of existing models formulated in recent modeling environments without the need of model transfer or recoding. The numerical algorithm is capable of generating problem dependent, nonuniform discretization grids that might differ for each control variable. The software is used to solve an example problem of industrial relevant size. Based on the experience drawn from the example, benefits and drawbacks of this technology are discussed. As a new feature, the access of model information through a Competence Assessment, Planning, and Evaluation (CAPE)-OPEN interface has been introduced. The functionality of this approach has been proven by applying it to a large-scale problem. The heterogeneous implementation using CORBA as communication middleware appeared to be a practical approach, though there still exists a significant overhead in computation time solely caused by software-related reasons. Future improvements in this area will enable the use of such frameworks in industrial applications.