Area 1

Combinatorial and Simulation-based Optimization

In Area 1 the projects “Transport Optimization”, “Warehouse Optimization”, and “Scheduling and Dispatching” (Project 1.1 – 1.3) are categorized as industrial research projects. Due to the novelty of optimization networks and the need for research on integrated problem solving, “Integrated Optimization” (Project 1.4) includes several basic research elements that focus on the algorithmic advances within this area.

Area 2

Data-Based Systems Modeling

In Area 2, “Systems Identification” (Project 2.1) addresses several nonlinear system identification problems relevant for the company partners; it is classified as industrial research since algorithms from the fields of machine learning and computational intelligence shall be researched and new algorithmic methods will have to be developed. “Research on White-Box Modeling Techniques” and “Knowledge Networks” (Projects 2.2 and 2.3) are highly innovative approaches and include reasonable basic research elements; the findings of these projects should influence and enrich Project 2.1.

Area 3

Strategic Research

Area 3 summarizes the strategic, area comprehensive projects that deal with the scientific challenges and methods for integrated problem modeling and solving. These challenges require basic research both in terms of algorithm research, problem modeling and orchestration of the involved algorithms. The first two projects in this area (Project 3.1 and 3.2) are dedicated to generic problem modeling and algorithm development; research results of these projects influence all projects in Areas 1 and 2.

The position of the strategic project “Incubator for Emerging Research” (Project 3.3) can be considered in some way exceptional: All scientific partners contribute to this project in order to define new innovative interdisciplinary research approaches and identify potentially interested company partners for future research projects; the content of this project is therefore considered basic research.