Topics

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:

  1. To disseminate knowledge and promote understanding of MCDA and its diverse applications.
  2. To encourage interest and provide training for doctoral candidates working in the MODM and MCDA domains.
  3. 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