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3-year FWF research project granted!

The project concens the development of generic optimization mehtods for solving multi-objective optimization problems as they arise in disaster relief distribution, green logistics, and sustainable supply chain management.

We live in a world full of trade-offs. In almost every problem situation we encounter it is difficult to define the one and only goal to aim for, especially whenever more than one decision maker or stakeholder is involved. Thus, many if not all practical problems involve several and often conflicting objectives. Prominent examples are profitability or cost versus environmental concerns.

This project sets out to break new ground in the field of exact methods for multi-objecitve mixed integer programming with up to three objectives.