Image de couverture de livre

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zheng, Zhi, Yao, Shunyu, Wang, Zhenkun, Tong, Xialiang, Yuan, Mingxuan, Tang, Ke
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
par: Zhou, Changliang, et autres
Publié: (2024)

Prompt Learning for Generalized Vehicle Routing
par: Liu, Fei, et autres
Publié: (2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
par: Liu, Fei, et autres
Publié: (2024)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
par: Wu, Xuan, et autres
Publié: (2025)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
par: Zheng, Zhi, et autres
Publié: (2024)

ARS: Automatic Routing Solver with Large Language Models
par: Li, Kai, et autres
Publié: (2025)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
par: Luo, Fu, et autres
Publié: (2024)

Learning to Insert for Constructive Neural Vehicle Routing Solver
par: Luo, Fu, et autres
Publié: (2025)

Large Language Model for Multi-objective Evolutionary Optimization
par: Liu, Fei, et autres
Publié: (2023)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
par: Feng, Shaodi, et autres
Publié: (2025)

Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver
par: Yu, Canhong, et autres
Publié: (2026)

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
par: Li, Han, et autres
Publié: (2024)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
par: Zhou, Changliang, et autres
Publié: (2025)

Survey on Neural Routing Solvers
par: Ba, Yunpeng, et autres
Publié: (2026)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
par: Xiao, Yubin, et autres
Publié: (2024)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
par: Huang, Ziwei, et autres
Publié: (2025)

Memory-Enhanced Neural Solvers for Routing Problems
par: Chalumeau, Felix, et autres
Publié: (2024)

Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
par: Wang, Yang, et autres
Publié: (2024)

Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
par: Pan, Yuxin, et autres
Publié: (2025)

Neural Deconstruction Search for Vehicle Routing Problems
par: Hottung, André, et autres
Publié: (2025)

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
par: Zhou, Changliang, et autres
Publié: (2025)

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
par: Bi, Jieyi, et autres
Publié: (2026)

A Systematic Survey on Large Language Models for Algorithm Design
par: Liu, Fei, et autres
Publié: (2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
par: Zhou, Jianan, et autres
Publié: (2024)

Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
par: Xiao, Yubin, et autres
Publié: (2023)

EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design
par: Liu, Fei, et autres
Publié: (2025)

NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem
par: Dihan, Mahir Labib, et autres
Publié: (2026)

Enhancing Cross-Problem Vehicle Routing via Federated Learning
par: Meng, Xiangchi, et autres
Publié: (2026)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
par: Luo, Fu, et autres
Publié: (2025)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
par: Liu, Fei, et autres
Publié: (2024)

Learning to Segment for Vehicle Routing Problems
par: Ouyang, Wenbin, et autres
Publié: (2025)

RouteExplainer: An Explanation Framework for Vehicle Routing Problem
par: Kikuta, Daisuke, et autres
Publié: (2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems
par: Bi, Jieyi, et autres
Publié: (2024)

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
par: Pan, Yuxin, et autres
Publié: (2025)

Adversarial Generative Flow Network for Solving Vehicle Routing Problems
par: Zhang, Ni, et autres
Publié: (2025)

Efficient Decoder Scaling Strategy for Neural Routing Solvers
par: Luo, Qing, et autres
Publié: (2026)

Neural Networks for Vehicle Routing Problem
par: Kovács, László, et autres
Publié: (2024)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
par: Zhang, Zhanguang, et autres
Publié: (2024)

Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
par: Levin, Joshua, et autres
Publié: (2024)

Lifelong Learning with Behavior Consolidation for Vehicle Routing
par: Pei, Jiyuan, et autres
Publié: (2025)