Dataset for Multicriteria Optimization of a Lower Limb Exoskeleton Design

The dataset described in this work is specifically designed for addressing multi-criteria synthesis (optimization) problems, characterized by 11 parameters and 7 conflicting criteria. The dataset comprises a collection of n-dimensional sample points, which, in this context, are 11-dimensional, where each dimension represents variations of a specific parameter being optimized. These sample points are carefully constructed to facilitate the development of efficient algorithms aimed at finding compromise solutions among the conflicting criteria.