1. Key research questions:
Dissertation title: Interactive methods for multiobjective robust optimization
Supervisors: Prof. Kaisa Miettinen and Dr. Karthik Sindhya. Founded by University of Jyväskylä
Key research questions:
How applicable are the robustness concepts in decision making for practical problems?
How to support a decision maker in finding the final solution for problems under uncertainty?
Contribution:
Bridging theory and practice of multiobjective robust optimization.
Providing necessary tools to support a decision maker in multiobjective robust optimization.

2. Papers and manuscripts
Yue Zhou-Kangas, Kaisa Miettinen, and Karthik Sindhya. Solving Multiobjective Optimization Problems with Decision Uncertainty: an Interactive approach. Journal of Business Economics, to appear, doi: /s , 2018.
Yue Zhou-Kangas, Kaisa Miettinen, and Karthik Sindhya. Interactive Multiobjective Robust Optimization with NIMBUS. In Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, to appear, 2018.
Yue Zhou-Kangas and Kaisa Miettinen. A simple indicator based evolutionary algorithm for set-based minmax robustness. Parallel Problem Solving from Nature - PPSN XV. PPSN 2018, Proceedings. Springer, to appear, 2018.
Yue Zhou-Kangas and Anita Schöbel. The price of multiobjective robustness analyzing solution sets to uncertain multiobjective optimization problems. Manuscript.
Yue Zhou-Kangas and Kaisa Miettinen. Decision making in multiobjective optimization problems under uncertainty: balancing between robustness and quality. Manuscript.
Plans towards completion
Thesis should go to the pre-evaluators after the appointment of Faculty of IT.
Planed defense: somewhere in late Autumn this year.