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

Showing 701725 of 1277 papers

TitleStatusHype
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence0
One model Packs Thousands of Items with Recurrent Conditional Query LearningCode1
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle0
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades0
Three-dimensional Cooperative Localization of Commercial-Off-The-Shelf Sensors0
FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social NetworksCode0
Symbolic Regression via Neural-Guided Genetic Programming Population SeedingCode1
Sample Selection for Fair and Robust Training0
Interpretable Decision Trees Through MaxSAT0
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness0
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
Chaos inspired Particle Swarm Optimization with Levy Flight for Genome Sequence Assembly0
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender SystemCode1
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Meme Stock Prediction0
Learning-based Memetic Algorithm for Hard-label Textual Attack0
Robust Correlation Clustering with Asymmetric Noise0
Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation AlgorithmCode0
Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum AnnealingCode0
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method0
Time Complexity Analysis of Evolutionary Algorithms for 2-Hop (1,2)-Minimum Spanning Tree Problem0
Hybrid Pointer Networks for Traveling Salesman Problems OptimizationCode1
Assessing Distribution Network Flexibility via Reliability-based P-Q Area Segmentation0
Learning the Markov Decision Process in the Sparse Gaussian EliminationCode1
Learning to Solve an Order Fulfillment Problem in Milliseconds with Edge-Feature-Embedded Graph Attention0
Show:102550
← PrevPage 29 of 52Next →

No leaderboard results yet.