Optimisation
Research on Optimisation focuses on solving optimisation problems, which is about finding values for unknowns such that constraints are satisfied and a cost is (near-)minimal or a gain is (near-)maximal. Sometimes the goal is to satisfy the constraints without a specific function to be minimised or maximised.
Our research is on methods and tools for mathematical programming, constraint programming, and local search. Applications of optimisation arise in many real-world domains, such as communication networks, transportation and logistics for resource allocation, personnel rostering under work regulations and employee preferences, scheduling under precedence and resource allocation constraints, vehicle routing under time windows for deliveries or pick-ups, routing and scheduling of data flows in information networks, planning and performance engineering of mobile communications systems, etc.
News
- We will participate in NordConsNet Workshop 2023
in Odense, Denmark, in June 2023.
- Andreína Francisco Rodríguez serves as DEI chair, Justin Pearson on the senior programme committee, and Pierre Flener on the programme committee of CP 2023, the 29th International Conference on the Principles and Practice of Constraint Programming, held in Toronto (Canada) in August 2023.
- Andreína Francisco Rodríguez serves on the programme committee of IJCAI 2023, the 32nd International Joint Conference on Artificial Intelligence, held in Macao (SAR) in August 2023.
- Andreína Francisco Rodríguez and Justin Pearson serve on the programme committee of CP-AI-OR 2023, the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, held in Nice (France) in May 2023.