Efficient application of optimization methods by using concurrent and simultaneous optimization
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Wünsch, Andreas; Vajna, Sandor
Institution: Otto-von-Guericke-University Magdeburg, Germany
Section: Design Processes, Design Organisation and Management
The present paper addresses the research question of the efficient execution of optimization tasks in product development by using parallelization methods and by considering the existing resources within an organization. Based on analogies between optimization processes and the execution of tasks in interdisciplinary teams, a method for efficient parallelization of evaluation processes of optimizations is introduced and implemented prototypically into a framework for distributed optimization. Thereby the parallelization of evaluation processes is based on the decomposition of both the optimization model and the evaluation model. Since the processing of these process elements depends only on the availability and the stability of required information and resources, high flexibility in the application and dynamic response to spontaneous changes in the resources can be ensured. Within this environment resources include available hardware, installed software, and available licenses. Furthermore, we show how the efficiency of an optimization can be further increased by using priority-based processing of the process elements of the evaluation process.