An Effective Cross-Task Unified Multiobjective Neural Metaframework for Solving Combinatorial Optimization Problems.
Neural combinatorial optimization methods based on deep reinforcement learning (DRL) have shown promising results recently in solving complex combinatorial optimization problems (COPs). However, existing approaches usually require training separate models for each COP. When facing multiobjective COPs (MOCOPs), a large...