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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 351–400 of 1277 papers

TitleStatusHype
Reinforcement Learning in Practice: Opportunities and Challenges—0
Differentiable Scaffolding Tree for Molecule Optimization—0
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks—0
Differentially Private Partial Set Cover with Applications to Facility Location—0
DIFFRAC: a discriminative and flexible framework for clustering—0
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits—0
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning—0
Equivariant neural networks for recovery of Hadamard matrices—0
Estimation of the yield curve for Costa Rica using combinatorial optimization metaheuristics applied to nonlinear regression—0
Deep Reinforcement Learning for Traveling Purchaser Problems—0
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer—0
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems—0
Deep Reinforcement Learning for Modelling Protein Complexes—0
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch—0
Discrete graphical models -- an optimization perspective—0
An Efficient Algorithm for Cooperative Semi-Bandits—0
Diseño e implementación de una meta-heurística multi-poblacional de optimización combinatoria enfocada a la resolución de problemas de asignación de rutas a vehículos—0
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks—0
Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing—0
Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
An Efficient Circuit Compilation Flow for Quantum Approximate Optimization Algorithm—0
Diversity from Human Feedback—0
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize—0
A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem—0
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems—0
Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture—0
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms—0
Duality between Feature Selection and Data Clustering—0
D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis—0
Dynamic Algorithms for Matroid Submodular Maximization—0
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization—0
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing—0
Deep Momentum Uncertainty Hashing—0
Deep memetic models for combinatorial optimization problems: application to the tool switching problem—0
Dynamic Feature Selection for Efficient and Interpretable Human Activity Recognition—0
A Tutorial about Random Neural Networks in Supervised Learning—0
Biased Random-Key Genetic Algorithms: A Review—0
Dynamic Submodular Maximization—0
EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization—0
Amplitude-Ensemble Quantum-Inspired Tabu Search Algorithm for Solving 0/1 Knapsack Problems—0
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry—0
Deep Learning of Graph Matching—0
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules—0
Effective anytime algorithm for multiobjective combinatorial optimization problems—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry—0
Attention Round for Post-Training Quantization—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems—0
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