Data-driven Decision Support with Multiobjective Optimization (DAEMON) (DAEMON)

Main funder

Funder's project number322221

Funds granted by main funder (€)

  • 592 530,00

Funding program

Project timetable

Project start date01/09/2019

Project end date31/08/2023


We develop modular building blocks for modelling and solving data-driven decision making problems utilizing tools of machine learning and multiobjective optimization. As inspiration and for testing the development, we have data sets from three application areas. The implementation significantly extends the open source code DESDEO framework designed for simulation-based problems.

Principal Investigator

Primary responsible unit

Follow-up groups

Profiling areaDecision analytics utilizing causal models and multiobjective optimization (University of Jyväskylä JYU) DEMO; 2017-2021

Related publications and other outputs

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Last updated on 2024-17-04 at 12:57