Copertina

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Goh, Yong Liang, Cao, Zhiguang, Ma, Yining, Zhou, Jianan, Dupty, Mohammed Haroon, Lee, Wee Sun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
di: Goh, Yong Liang, et al.
Pubblicazione: (2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
di: Zhou, Jianan, et al.
Pubblicazione: (2024)

PF-GNN: Differentiable particle filtering based approximation of universal graph representations
di: Dupty, Mohammed Haroon, et al.
Pubblicazione: (2024)

Improving Molecular Force Fields with Minimal Temporal Information
di: Mollahosseini, Ali, et al.
Pubblicazione: (2026)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
di: Huang, Ziwei, et al.
Pubblicazione: (2025)

Differentiable Cluster Graph Neural Network
di: Dong, Yanfei, et al.
Pubblicazione: (2024)

Constrained Layout Generation with Factor Graphs
di: Dupty, Mohammed Haroon, et al.
Pubblicazione: (2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems
di: Bi, Jieyi, et al.
Pubblicazione: (2024)

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
di: Bi, Jieyi, et al.
Pubblicazione: (2026)

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
di: Zhang, Ni, et al.
Pubblicazione: (2025)

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
di: Pan, Yuxin, et al.
Pubblicazione: (2025)

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems
di: Malik, Manuj, et al.
Pubblicazione: (2026)

Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
di: Fu, Guoji, et al.
Pubblicazione: (2023)

Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
di: Zhang, Ni, et al.
Pubblicazione: (2025)

RADAR: Learning to Route with Asymmetry-aware DistAnce Representations
di: Yi, Hang, et al.
Pubblicazione: (2026)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
di: Feng, Shaodi, et al.
Pubblicazione: (2025)

Collaboration! Towards Robust Neural Methods for Routing Problems
di: Zhou, Jianan, et al.
Pubblicazione: (2024)

Adversarial Generative Flow Network for Solving Vehicle Routing Problems
di: Zhang, Ni, et al.
Pubblicazione: (2025)

Cross-Problem Learning for Solving Vehicle Routing Problems
di: Lin, Zhuoyi, et al.
Pubblicazione: (2024)

Learning to Segment for Vehicle Routing Problems
di: Ouyang, Wenbin, et al.
Pubblicazione: (2025)

Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
di: Pan, Yuxin, et al.
Pubblicazione: (2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver
di: Luo, Fu, et al.
Pubblicazione: (2025)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
di: Goh, Yong Liang, et al.
Pubblicazione: (2022)

Probing Neural Combinatorial Optimization Models
di: Zhang, Zhiqin, et al.
Pubblicazione: (2025)

Survey on Neural Routing Solvers
di: Ba, Yunpeng, et al.
Pubblicazione: (2026)

GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
di: Ye, Haoran, et al.
Pubblicazione: (2023)

Rethinking Positional Encoding for Neural Vehicle Routing
di: Hua, Chuanbo, et al.
Pubblicazione: (2026)

PCOV-KWS: Multi-task Learning for Personalized Customizable Open Vocabulary Keyword Spotting
di: Pan, Jianan, et al.
Pubblicazione: (2026)

Large Language Models as End-to-end Combinatorial Optimization Solvers
di: Jiang, Xia, et al.
Pubblicazione: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
di: Xiao, Yubin, et al.
Pubblicazione: (2024)

Enhancing Cross-Problem Vehicle Routing via Federated Learning
di: Meng, Xiangchi, et al.
Pubblicazione: (2026)

Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
di: Levin, Joshua, et al.
Pubblicazione: (2024)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
di: Li, Qi, et al.
Pubblicazione: (2025)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
di: Wu, Xuan, et al.
Pubblicazione: (2025)

Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs
di: Gui, Shuangchun, et al.
Pubblicazione: (2026)

Reinforcement Learning for Multi-Truck Vehicle Routing Problems
di: Levin, Joshua, et al.
Pubblicazione: (2022)

Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
di: Xiao, Yubin, et al.
Pubblicazione: (2023)

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
di: Zheng, Zhi, et al.
Pubblicazione: (2024)

VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
di: Liu, Shiyan, et al.
Pubblicazione: (2025)

Agentic Meta-Orchestrator for Multi-task Copilots
di: Zhu, Xiaofeng, et al.
Pubblicazione: (2025)