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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
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
DeepACO: Neural-enhanced Ant Systems for Combinatorial OptimizationCode1
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling ProblemCode1
Matrix Encoding Networks for Neural Combinatorial OptimizationCode1
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial OptimizationCode1
Deep Graph Matching via Blackbox Differentiation of Combinatorial SolversCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
CLIPPER: A Graph-Theoretic Framework for Robust Data AssociationCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
Attention, Learn to Solve Routing Problems!Code1
DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDNCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Multi Agent Reinforcement Learning for Sequential Satellite Assignment ProblemsCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial OptimizationCode1
Domain-Independent Dynamic Programming: Generic State Space Search for Combinatorial OptimizationCode1
Learning a Large Neighborhood Search Algorithm for Mixed Integer ProgramsCode1
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood SearchCode1
A Deep Instance Generative Framework for MILP Solvers Under Limited Data AvailabilityCode1
Efficient Active Search for Combinatorial Optimization ProblemsCode1
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale GeneralizationCode1
Neural Multi-Objective Combinatorial Optimization with Diversity EnhancementCode1
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing ProblemsCode1
Automatic Truss Design with Reinforcement LearningCode1
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment ProblemCode1
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
Pareto Set Learning for Neural Multi-objective Combinatorial OptimizationCode1
Quantum approximate optimization via learning-based adaptive optimizationCode1
Exact Combinatorial Optimization with Graph Convolutional Neural NetworksCode1
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming ProblemCode1
Quantum HyperNetworks: Training Binary Neural Networks in Quantum SuperpositionCode1
Learning to Solve Travelling Salesman Problem with Hardness-adaptive CurriculumCode1
Exploring the Power of Graph Neural Networks in Solving Linear Optimization ProblemsCode1
Moco: A Learnable Meta Optimizer for Combinatorial OptimizationCode1
Reinforced Genetic Algorithm for Structure-based Drug DesignCode1
Rethinking Differentiable Search for Mixed-Precision Neural NetworksCode1
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingCode1
Large Language Model Assisted Adversarial Robustness Neural Architecture SearchCode0
Lagrange Oscillatory Neural Networks for Constraint Satisfaction and OptimizationCode0
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment ProblemCode0
Large Neighborhood Prioritized Search for Combinatorial Optimization with Answer Set ProgrammingCode0
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut ProblemCode0
Ants can orienteer a thief in their robberyCode0
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, ApplicationsCode0
Latent Guided Sampling for Combinatorial OptimizationCode0
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