AI RESEARCH
Modeling Multi-Objective Tradeoffs with Monotonic Utility Functions
arXiv CS.LG
•
ArXi:2412.06154v2 Announce Type: replace Countless science and engineering applications in multi-objective optimization (MOO) necessitate that decision-makers (DMs) select a Pareto-optimal (PO) solution which aligns with their preferences. Evaluating individual solutions is often expensive, and the high-dimensional trade-off space makes exhaustive exploration of the full Pareto frontier (PF) infeasible. We