arXiv Machine Learning By Cl\'audio L\'ucio do Val Lopes, Fl\'avio Vin\'icius Cruzeiro Martins, Elizabeth Fialho Wanner

Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization

Read the original on arXiv Machine Learning →

arXiv:2606. 30836v1 Announce Type: new Abstract: Explainability in Many-Objective Optimization (MaO) is currently hindered by the escalating complexity of the Pareto front, which renders the relationship between high-dimensional decision variables and objective outcomes increasingly opaque.

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