Cover Image

Probing Neural Combinatorial Optimization Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhiqin, Ma, Yining, Cao, Zhiguang, Lau, Hoong Chuin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
by: Reijnen, Robbert, et al.
Published: (2022)

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)

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

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

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

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

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

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

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
by: Berto, Federico, et al.
Published: (2023)

Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)

Geometric Algorithms for Neural Combinatorial Optimization with Constraints
by: Karalias, Nikolaos, et al.
Published: (2025)

Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
by: Sharma, Monit, et al.
Published: (2025)

A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems
by: Sharma, Monit, et al.
Published: (2025)

Cutting Slack: Quantum Optimization with Slack-Free Methods for Combinatorial Benchmarks
by: Sharma, Monit, et al.
Published: (2025)

Understanding the Nature of Depth-1 Equivariant Quantum Circuit
by: Teo, Jonathan, et al.
Published: (2025)

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

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
by: Liu, Wei, et al.
Published: (2026)

ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
by: Fang, Han, et al.
Published: (2025)

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

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
by: Sanokowski, Sebastian, et al.
Published: (2024)

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
by: Loyola, Pablo, et al.
Published: (2025)

Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization
by: Lu, Yongfan, et al.
Published: (2024)

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
by: Hottung, André, et al.
Published: (2024)

NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem
by: Dihan, Mahir Labib, et al.
Published: (2026)

Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)

Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
by: Wang, Chen, et al.
Published: (2025)

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

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
by: Ma, Zeyuan, et al.
Published: (2024)

Generalizable Heuristic Generation Through LLMs with Meta-Optimization
by: Shi, Yiding, et al.
Published: (2025)

Hierarchical Zero-Order Optimization for Deep Neural Networks
by: Cao, Sansheng, et al.
Published: (2026)

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

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
by: Xiao, Xiangjie, et al.
Published: (2026)

Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty
by: Lin, Tianjue, et al.
Published: (2026)

Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization
by: Hong, Seong-Hyun, et al.
Published: (2024)

Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization
by: Pirnay, Jonathan, et al.
Published: (2024)

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
by: Smit, Igor G., et al.
Published: (2024)