Cover Image

Learning to Solve Compositional Geometry Routing Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Mingfeng, Zhou, Jianan, Cheng, Jiaqi, Zhang, Yifeng, Zhang, Jie, Sartoretti, Guillaume Adrien
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
by: Cheng, Jiaqi, et al.
Published: (2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
by: Fan, Mingfeng, et al.
Published: (2025)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
by: Fan, Mingfeng, et al.
Published: (2025)

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
by: Li, Fengxiaoxiao, et al.
Published: (2026)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2025)

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

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

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

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

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

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)

Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
by: Qi, Shihao, et al.
Published: (2025)

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

An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
by: Miao, Changhao, et al.
Published: (2025)

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram
by: Zhang, Ming-Liang, et al.
Published: (2024)

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

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

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
by: Iklassov, Zangir, et al.
Published: (2024)

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

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
by: Huang, Jianing, et al.
Published: (2025)

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
by: Xiao, Tong, et al.
Published: (2024)

GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2024)

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

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

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
by: Zhang, Jiaxin, et al.
Published: (2024)

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

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving
by: Zhou, Kuo, et al.
Published: (2025)

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
by: Wu, Xuan, et al.
Published: (2024)

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control
by: Chen, Xibei, et al.
Published: (2026)

Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)

Study of Robust Features in Formulating Guidance for Heuristic Algorithms for Solving the Vehicle Routing Problem
by: Herdianto, Bachtiar, et al.
Published: (2025)

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring
by: Anand, Avinash, et al.
Published: (2024)

A Survey of Deep Learning for Geometry Problem Solving
by: Ma, Jianzhe, et al.
Published: (2025)

RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts
by: Zhang, Yu, et al.
Published: (2025)

ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models
by: Qiao, Haoyu, et al.
Published: (2026)

Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
by: Herdianto, Bachtiar, et al.
Published: (2025)

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

AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
by: Ping, Bowen, et al.
Published: (2025)

LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
by: Li, Tianyou, et al.
Published: (2025)

Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
by: Biasoto, Luiza Pellin, et al.
Published: (2024)