arxivcs.LGcs.NE2026-06-29
Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization
Cláudio Lúcio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner
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. As the number of objectives exceeds t…