An Interactive Evolutionary Multiobjective Optimization Algorithm Based on Interpretable Active Preference Learning.

arXiv:2610.35470v1 Announce Type: cross Abstract: Many decision-making tasks are inherently multi-objective. Interactive evolutionary multi-objective optimization algorithms (iEMOAs) are particularly well-suited to help the decision-maker find their most prefe