Robbert Reijnen

Robbert Reijnen is a Researcher at the Department of Information Systems within the Industrial Engineering and Innovation Sciences school at Eindhoven University of Technology. His work focuses on algorithmic approaches for complex optimization problems in industrial contexts.

Research interests include:

• Deep Reinforcement Learning for dynamic systems
• Graph Neural Networks in scheduling optimization
• Adaptive parameter control in evolutionary algorithms
• Multi-objective optimization frameworks

Recent publications highlight applications in job shop scheduling, vehicle routing, and differential evolution techniques. He has received recognition through scientific awards:

• Winner of MLVRP2023 GECCO competition (2023)

Active in organizing academic workshops like EURO Meets NeurIPS 2022 Vehicle Routing Competition, and teaching Algorithmic programming for operations management. His work contributes to UN Sustainable Development Goals related to efficient resource management.