The MOPGP conference serves as a scientific forum that brings together researchers and practitioners to share knowledge and learn about the latest developments in the fields of Multi-Objective Decision Making (MODM) and Multi-Criteria Decision Aid (MCDA). The primary aims of the MOPGP conference are:
- To disseminate knowledge and promote understanding of MCDA and its diverse applications.
- To encourage interest and provide training for doctoral candidates working in the MODM and MCDA domains.
- To foster the rigorous use of MODM and MCDA tools and techniques in tackling real-world decision-making challenges.
The conference provides an invaluable platform for the MODM and MCDA community to convene, exchange ideas, present research findings, and collaborate on advancing the state-of-the-art in these important decision science disciplines. By facilitating this exchange between academics and practitioners, the MOPGP conference strives to bridge the gap between theory and practice in multi-criteria decision-making.
A broad range of topics will be covered during the conference. Papers related to the following topics are suitable for submission to the conference:
- Theories and applications of MOP/GP
- Fuzzy sets, soft computing and MOP/GP
- Neural networks, meta-heuristics and MOP/GP
- Interactive MOP/GP methods
- Evolutionary MOP
- Discrete and combinatorial MOP/GP
- Stochastic MOP/GP
- Fuzzy MOP/GP
- Dynamic MOP/GP
- Business applications of MOP/GP (Finance, Management, Marketing, …)
- Engineering applications of MOP/GP
- All other topics in relation to MOP/GP