Presentations

  • M. Tomczyk, M. Kadziński, Co-evolution improves the efficiency of preference learning methods when the Decision Maker’s aspirations develop over time, Lisbon, Portugal, GECCO 2023 [PDF]
  • M. Tomczyk, M. Kadziński, Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers, Portsmouth, Great Britain, MCDA 2022 [PDF]
  • M. Tomczyk, M. Kadziński, Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities, Lille, France, GECCO 2021 [PDF]
  • M. Tomczyk, M. Kadziński, Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization, Athens, Grece, EURO 2021 [PDF]
  • M. Tomczyk, M. Kadziński, On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization, Cancun, Mexico, GECCO 2020 [PDF]
  • M. Tomczyk, M. Kadziński, Robust indicator-based algorithm for interactive evolutionary multiple objective optimization, Prague, Czech Republic, GECCO 2019 [PDF]
  • M. Kadziński, M. Tomczyk, R. Słowiński, Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization, Trento, Italy, EWG-MCDA Workshop Conference 2019 [PDF]
  • M. Tomczyk, M Kadziński, EMOSOR: Evolutionary Multiple Objective Optimization Guided by Interactive Stochastic Ordinal Regression, Ireland, Dublin, EURO 2019 [PDF]
  • M. Tomczyk, M Kadziński, Decomposition-based interactive evolutionary algorithm for multiple objective optimization, Valencia, Spain, EURO 2018 [PDF]