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.本研究所提出的数据集，专为解决多准则综合（优化）问题而设计，具备11个参数与7个冲突准则的特征。该数据集由n维采样点集合构成，在本研究场景下为11维采样点，每个维度对应待优化参数的变化取值。这些采样点均经过精心构建，旨在助力开发高效算法，以在冲突准则间寻求折中解决方案。