Multi-Party Optimization

Mathijs M. de Weerdt is an Associate Professor on Multi-Party Optimization within the Algorithmics Group of the TU Delft, Faculty of Engineering, Mathematics and Computer Science (EWI), Department of Software and Computer Technology. He is also scientific advisor of the Maintenance Research and Development group of the Dutch National Railways (NS).

In my group we are working on algorithms and mechanisms for optimization problems that involve multiple parties. This involves the development and application of artificial intelligence techniques (mechanism design, planning and scheduling (under uncertainty), multi-agent systems, search, machine learning). For example, moving towards sustainable energy, the production costs of electricity become dependent upon the weather. Users planning electricity-consuming activities have individual objectives that are different from those of electricity generators. As a society we are interested in a pricing scheme for electricity with an equilibrium for electricity consumption and production that optimizes the social welfare. The design of such a mechanism is an example of mechanism design in a dynamic setting involving planning and scheduling of activities.

In my research, I contribute to three important practical problem domains: that of energy, realized by a strong cooperation in the context of Smart Grids with the department of Electrical Sustainable Energy, that of transportation, building upon the considerable expertise and contacts in our research group, and that of maintenance scheduling, together with the Maintenance Research and Development group of the Dutch National Railways (NS).

Mathijs de Weerdt