SOTAVerified

Combinatorial Optimization

Combinatorial Optimization is a category of problems which requires optimizing a function over a combination of discrete objects and the solutions are constrained. Examples include finding shortest paths in a graph, maximizing value in the Knapsack problem and finding boolean settings that satisfy a set of constraints. Many of these problems are NP-Hard, which means that no polynomial time solution can be developed for them. Instead, we can only produce approximations in polynomial time that are guaranteed to be some factor worse than the true optimal solution.

Source: Recent Advances in Neural Program Synthesis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 1277 papers

TitleStatusHype
Learning to Solve Travelling Salesman Problem with Hardness-adaptive CurriculumCode1
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph MatchingCode1
Learn to Design the Heuristics for Vehicle Routing ProblemCode1
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNetsCode1
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNetsCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing SystemCode1
Matrix Encoding Networks for Neural Combinatorial OptimizationCode1
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial OptimizationCode1
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree SearchCode1
Monte Carlo Policy Gradient Method for Binary OptimizationCode1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemCode1
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot GeneralizationCode1
Attention, Learn to Solve Routing Problems!Code1
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural NetworksCode1
Neural Combinatorial Optimization for Real-World RoutingCode1
Neural Combinatorial Optimization with Reinforcement LearningCode1
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on GraphsCode1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement LearningCode1
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial OptimizationCode1
Pareto Set Learning for Neural Multi-objective Combinatorial OptimizationCode1
POMO: Policy Optimization with Multiple Optima for Reinforcement LearningCode1
Decision-Focused Learning: Through the Lens of Learning to RankCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics NetworkCode1
CLIPPER: A Graph-Theoretic Framework for Robust Data AssociationCode1
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time WindowsCode1
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming ProblemCode1
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock PredictionsCode1
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial OptimizationCode1
Belief Propagation Neural NetworksCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Automatic Truss Design with Reinforcement LearningCode1
Combinatorial Optimization with Physics-Inspired Graph Neural NetworksCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
Are Graph Neural Networks Optimal Approximation Algorithms?Code1
A Reinforcement Learning Approach to the Orienteering Problem with Time WindowsCode1
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
Contingency-Aware Influence Maximization: A Reinforcement Learning ApproachCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial OptimizationCode1
A Learning-based Iterative Method for Solving Vehicle Routing ProblemsCode1
ASP: Learn a Universal Neural Solver!Code1
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock PredictionCode1
DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDNCode1
BILP-Q: Quantum Coalition Structure GenerationCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Show:102550
← PrevPage 3 of 26Next →

No leaderboard results yet.