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Paul Fährmann

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Review Open access Aug 2026

Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning

Abstract. Recently, there has been increasing interest in the application of multiobjective optimization (MOO) in machine learning (ML). This interest is driven by the numerous real-life situations in which multiple objectives must be optimized simultaneously. A key aspect of MOO is the existence of a Pareto set, rath...

Junaid Akhter, Paul Fährmann, Konstantin Sonntag et al. · SIAM Review · 0 citations