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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

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Showing 151–200 of 1277 papers

TitleStatusHype
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree SearchCode1
Exact Combinatorial Optimization with Graph Convolutional Neural NetworksCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
Feature Importance Ranking for Deep LearningCode1
FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data ClassificationCode1
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial OptimizationCode1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemCode1
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time WindowsCode1
A Bayesian algorithm for retrosynthesisCode1
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-CutCode1
Attention, Learn to Solve Routing Problems!Code1
Instance-wise algorithm configuration with graph neural networksCode1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
L0Learn: A Scalable Package for Sparse Learning using L0 RegularizationCode1
Learning a Large Neighborhood Search Algorithm for Mixed Integer ProgramsCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Learning the Markov Decision Process in the Sparse Gaussian EliminationCode1
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
A Deep Instance Generative Framework for MILP Solvers Under Limited Data AvailabilityCode1
Learning What to Defer for Maximum Independent SetsCode1
Learn to Design the Heuristics for Vehicle Routing ProblemCode1
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNetsCode1
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing ProblemsCode1
Automatic Truss Design with Reinforcement LearningCode1
Matrix Encoding Networks for Neural Combinatorial OptimizationCode1
Maximum Entropy Weighted Independent Set Pooling for Graph Neural NetworksCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock PredictionCode1
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock PredictionsCode1
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial SolversCode1
Monte Carlo Policy Gradient Method for Binary OptimizationCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot GeneralizationCode1
Contingency-Aware Influence Maximization: A Reinforcement Learning ApproachCode1
Implicit MLE: Backpropagating Through Discrete Exponential Family DistributionsCode1
Neural Combinatorial Optimization for Real-World RoutingCode1
Neural Combinatorial Optimization with Reinforcement LearningCode1
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement LearningCode1
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingCode1
Application of Decision Tree Classifier in Detection of Specific Denial of Service Attacks with Genetic Algorithm Based Feature Selection on NSL-KDD—0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm—0
Distributed Task Offloading and Resource Allocation for Latency Minimization in Mobile Edge Computing Networks—0
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection—0
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing—0
A Genetic Algorithm for solving Quadratic Assignment Problem(QAP)—0
A Generative Neural Annealer for Black-Box Combinatorial Optimization—0
A Generic Bet-and-run Strategy for Speeding Up Traveling Salesperson and Minimum Vertex Cover—0
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