<ul><li>Pareto Set Learning (PSL) is an emerging research area in multi-objective optimization.</li><li>Existing PSL methods are limited to addressing a single Multi-objective Optimization Problem (MOP) at a time.</li><li>A Collaborative Pareto Set Learning (CoPSL) framework is proposed to learn the Pareto sets of multiple MOPs simultaneously.</li><li>CoPSL efficiently learns the Pareto sets of multiple MOPs, leveraging shared representations and improving approximation capabilities.</li></ul>

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems

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