FiDiPro Professor Yaochu Jin is a world-leading researcher in surrogate-assisted evolutionary optimization as well as multiobjective optimization. He has rich expertise in learning systems, in particular in integrating evolution and learning. Additionally, he has long experience working with the Honda Research Institute, where he worked on various real-world aerodynamic optimization problems.

In DeCoMo, the expertise of Prof. Jin and that of the Industrial Optimization group in interactive multiobjective optimization complemented each other and together we develop novel optimization methods for decision support in solving complex multiobjective optimization problems by combining modern meta-heuristics and machine learning techniques. The output of this project was a prototype of an intelligent decision support tool that can make advanced multiobjective optimization methods available for industry, thereby significantly enhancing the innovation capability and competitiveness of the Finnish industries.

The principal investigator for DeCoMo was Professor Kaisa Miettinen.