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Abstract: Pareto Set Learning (PSL) is an emerging research area in multi-objective optimization, focusing on training neural networks to learn the mapping from preference vectors to Pareto optimal ...
A Lagrangian Algorithm for Multiple Depot Traveling Salesman Problem With Revisit Period Constraints
Abstract: This work presents a Multiple Depot Traveling Salesman Problem with revisit period constraints. The revisit period constraints are relevant to persistent routing applications, where these ...
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