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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
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
Quantum approximate optimization via learning-based adaptive optimizationCode1
Exploring the Power of Graph Neural Networks in Solving Linear Optimization ProblemsCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
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
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
GOAL: A Generalist Combinatorial Optimization Agent LearningCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Implicit MLE: Backpropagating Through Discrete Exponential Family DistributionsCode1
Attention, Learn to Solve Routing Problems!Code1
Incremental Sampling Without Replacement for Sequence ModelsCode1
JoinGym: An Efficient Query Optimization Environment for Reinforcement LearningCode1
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial OptimizationCode1
Large Language Models as Evolutionary OptimizersCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
Learning Primal Heuristics for Mixed Integer ProgramsCode1
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment ProblemCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksCode1
A Deep Instance Generative Framework for MILP Solvers Under Limited Data AvailabilityCode1
Learning the Travelling Salesperson Problem Requires Rethinking GeneralizationCode1
Learning with Combinatorial Optimization Layers: a Probabilistic ApproachCode1
Learn to Design the Heuristics for Vehicle Routing ProblemCode1
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing ProblemsCode1
Automatic Truss Design with Reinforcement LearningCode1
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling ProblemCode1
Matrix Encoding Networks for Neural Combinatorial OptimizationCode1
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
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial OptimizationCode1
Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationCode1
Contingency-Aware Influence Maximization: A Reinforcement Learning ApproachCode1
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming ProblemCode1
Multi Agent Reinforcement Learning for Sequential Satellite Assignment ProblemsCode1
Hybrid Pointer Networks for Traveling Salesman Problems OptimizationCode1
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling ProblemsCode1
Neural Combinatorial Optimization for Real-World RoutingCode1
Belief Propagation Neural NetworksCode1
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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