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Traveling Salesman Problem

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TitleStatusHype
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning—0
RsGCN: Rescaling Enhances Generalization of GCNs for Solving Scalable Traveling Salesman Problems—0
Learning for Dynamic Combinatorial Optimization without Training Data—0
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking—0
Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems—0
Collaborative Problem-Solving in an Optimization GameCode0
Preference Optimization for Combinatorial Optimization Problems—0
Purity Law for Generalizable Neural TSP Solvers—0
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration—0
Large Language Models as Particle Swarm Optimizers—0
Annealed Mean Field Descent Is Highly Effective for Quadratic Unconstrained Binary Optimization—0
Steiner Traveling Salesman Problem with Quantum Annealing—0
Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—0
Bridging Pattern-Aware Complexity with NP-Hard Optimization: A Unifying Framework and Empirical Study—0
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization ProblemsCode0
Learning to Reduce Search Space for Generalizable Neural Routing Solver—0
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles—0
Solving the Traveling Salesman Problem via Different Quantum Computing Architectures—0
Destroy and Repair Using Hyper Graphs for RoutingCode0
LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers—0
Blackout DIFUSCOCode0
Learning-Based TSP-Solvers Tend to Be Overly Greedy—0
PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach—0
Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search—0
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemCode1
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
ELENA: Epigenetic Learning through Evolved Neural AdaptationCode0
Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemsCode0
TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond—0
IDEQ: an improved diffusion model for the TSP—0
On the Application of Model Predictive Control to a Weighted Coverage Path Planning Problem—0
Optimal planning for heterogeneous autonomous teams with precedence and compatibility constraints and its application on power grid inspection with Unmanned Aerial VehiclesCode0
Learning to Handle Complex Constraints for Vehicle Routing ProblemsCode1
Accelerated Sub-Image Search For Variable-Size Patches Identification Based On Virtual Time Series Transformation And Segmentation—0
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs—0
Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization—0
Neural Solver Selection for Combinatorial OptimizationCode0
D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis—0
Multi-objective Evolution of Heuristic Using Large Language Model—0
Quantum evolutionary algorithm for TSP combinatorial optimisation problem—0
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksCode1
A GREAT Architecture for Edge-Based Graph Problems Like TSPCode0
Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks—0
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios—0
Efficient Bit Labeling in Factorization Machines with Annealing for Traveling Salesman Problem—0
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial ChallengesCode0
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems—0
Graph Convolutional Branch and BoundCode0
CycleFormer : TSP Solver Based on Language ModelingCode1
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