2 papers
cs.LG2026
Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization
Cláudio Lúcio do Val Lopes, Flávio VinÃcius 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…
math.OC2025
Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions
Gladston Moreira, Ivan Meneghini, Elizabeth Wanner
Multi-objective optimization problems (MOPs) often require a trade-off between conflicting objectives, maximizing diversity and convergence in the objective space. This study prese…