Business Information Systems & Operations Research

Research Profile

of the Chair of Business Information Systems & Operations Research

Computational Intelligence

Further advancements of nature-inspired processes (Simulated Annealing, Genetic Algorithms, Connectionist Models) for stochastic and dynamic problems as well as suitable parallelization of the methods for the application in distributed systems (e.g. Peer-to-Peer-/Multi-Agent Systems).

Vehicle Routing Problems

Consideration of more advanced vehicle routing models involving electric vehicles, autonomous drones (or droids), and stochastic travel times depending on time of day and weather in order to meet the customer specific time windows.

Revenue Management and Planning of Internal Processes

Dynamic Pricing of (classical and electronic) services and optimization of the resulting processes that might span multiple locations. (in particular for services with resource complementarities)

Multiagent Systems

Modeling and optimization of processes across locations. Coordination is understood as game theory mechanism design for several autonomous players (men and/or software agents).

Recommender Systems

Optimization of reciprocal selection decisions in partner matching (e.g., job placement-, dating- or social-network platforms).

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