Collaborative Learning of Pareto Sets for Multiple Multi-Objective Optimization Problems
The proposed Collaborative Pareto Set Learning (CoPSL) framework simultaneously learns the Pareto sets of multiple multi-objective optimization problems in a collaborative manner, leveraging shared representations across the problems to improve efficiency and performance.
