January 18 – 23 , 2009, Dagstuhl Seminar 09041

Hybrid and Robust Approaches to Multiobjective Optimization


Kalyanmoy Deb (Indian Inst. of Technology – Kanpur, IN)
Salvatore Greco (Università di Catania, IT)
Kaisa Miettinen (University of Jyväskylä, FI)
Eckart Zitzler (ETH Zürich, CH)

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  •   Esteco

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Dagstuhl Seminar Proceedings DROPS
List of Participants


The seminar “Hybrid and Robust Approaches to Multiobjective Optimization” was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006). The main idea of this seminar series has been to bring together two contemporary fields related to multiobjective optimization – Evolutionary Multiobjective Optimization (EMO) and Multiple Criteria Decision Making (MCDM) – to discuss critical research and application issues for bringing the entire field further and for fostering future collaboration.

This particular seminar was participated by 53 researchers actively working in multiobjective optimization. The purpose of the seminar was to discuss two fundamental research topics related to multiobjective optimization: interactive methods requiring optimization and decision making aspects to be integrated for a practical implementation and robust multiobjective methodologies dealing with uncertainties in problem parameters, objectives, constraints and algorithms. The seminar was structured to have more emphasis on working group discussions, rather than individual presentations, so that the open and free environment and facilities of Schloss Dagstuhl could be fully utilized.

Overall, the seminar provided a free atmosphere for everyone to speak and discuss freely about her of his research interests and ideas for considering robust and interactive methods for multiobjective optimization. Several future collaborative research strategies were planned involving researchers from both EMO and MCDM fields. It is hoped that in the next Dagstuhl seminar on the topic some of these collaborative research efforts will be presented.

Dagstuhl Seminar Series


  • Artificial Intelligence
  • Robotics
  • Optimization
  • Scheduling
  • Soft Computing
  • Evol. Algorithms


  • Multi-criteria optimization
  • Multiple criterion decision making
  • Evolutionary multiobjective optimization
  • Hybrid methods
  • Robustness
  • Uncertainty


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