Multiobjective optimization

In decision-making processes, multiple objectives are typically pursued simultaneously—consider, for example, the three dimensions of sustainability. In most cases, however, there is no solution that ideally satisfies all objectives at the same time. Multi-objective optimization addresses the question of which alternatives are efficient (Pareto-optimal) and which represent a reasonable compromise between the objectives. The focus of the research is on Multi-Objective Decision Making (MODM), i.e., the development and application of mathematical optimization methods for determining Pareto fronts and
compromise-optimal solutions.

Selected Research on Multi-Objective Optimization:

• Conflicting Objectives in Energy-Efficient Planning
• Parametric Programming for Solving Multi-Criteria Optimization Problems
• Center of Gravity-Based Assessment of Pareto Fronts
• Multi-criteria Allocation of Seminar Seats
• Data Envelopment Analysis (DEA)