Learning generalizable models for vehicle routing problems via knowledge distillation

Recent neural methods for vehicle routing problems always train and test the deep models on the same instance distribution (i.e., uniform). To tackle the consequent cross-distribution generalization concerns, we bring the knowledge distillation to this field and propose an Adaptive Multi-Distributio...

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Bibliographic Details
Main Authors: BI, Jieyi, MA, Yining, WANG, Jiahai, CAO, Zhiguang, CHEN, Jinbiao, SUN, Yuan, CHEE, Yeow Meng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/8164
https://ink.library.smu.edu.sg/context/sis_research/article/9167/viewcontent/NeurIPS_2022_learning_generalizable_models_for_vehicle_routing_problems_via_knowledge_distillation_Paper_Conference.pdf
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Institution: Singapore Management University
Language: English
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