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 Development Department 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 (dynamic) mechanism design with algorithms for planning and scheduling (under uncertainty). 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 two 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, and that of transportation, building upon the considerable expertise and contacts in our research group.

Mathijs de Weerdt