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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 951–1000 of 1277 papers

TitleStatusHype
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules—0
An Evolutionary Strategy based on Partial Imitation for Solving Optimization Problems—0
A new dog learns old tricks: RL finds classic optimization algorithms—0
A new hybrid genetic algorithm for protein structure prediction on the 2D triangular lattice—0
A new neighborhood structure for job shop scheduling problems—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
An Improved ACS Algorithm for the Solutions of Larger TSP Problems—0
An Improved Reinforcement Learning Algorithm for Learning to Branch—0
An interacting replica approach applied to the traveling salesman problem—0
An Introduction to Quantum Machine Learning for Engineers—0
An Iterative Path-Breaking Approach with Mutation and Restart Strategies for the MAX-SAT Problem—0
Annealed Mean Field Descent Is Highly Effective for Quadratic Unconstrained Binary Optimization—0
Annealed Training for Combinatorial Optimization on Graphs—0
Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization—0
An Optimal Quadratic Approach to Monolingual Paraphrase Alignment—0
A novel channel pruning method for deep neural network compression—0
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks—0
A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning—0
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem—0
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem—0
Ant Colony Optimization and Hypergraph Covering Problems—0
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing—0
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection—0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm—0
Application of Decision Tree Classifier in Detection of Specific Denial of Service Attacks with Genetic Algorithm Based Feature Selection on NSL-KDD—0
Application of QUBO solver using black-box optimization to structural design for resonance avoidance—0
Application of the Brain Drain Optimization Algorithm to the N-Queens Problem—0
Approximately Optimal Core Shapes for Tensor Decompositions—0
Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference—0
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions—0
A Probability Density Theory for Spin-Glass Systems—0
A Quadratic 0-1 Programming Approach for Word Sense Disambiguation—0
A Quantum-Enhanced Power Flow and Optimal Power Flow based on Combinatorial Reformulation—0
A Random-Key Optimizer for Combinatorial Optimization—0
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization—0
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications—0
Artificial Catalytic Reactions in 2D for Combinatorial Optimization—0
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem—0
A Spectral Method for Unsupervised Multi-Document Summarization—0
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems—0
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization—0
Assortment Planning with Sponsored Products—0
Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks—0
A Survey for Solving Mixed Integer Programming via Machine Learning—0
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization—0
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization—0
A Survey on Reinforcement Learning for Combinatorial Optimization—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking—0
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