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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 401–425 of 1277 papers

TitleStatusHype
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNetsCode1
Implementation of digital MemComputing using standard electronic componentsCode0
Multi-Passive/Active-IRS Enhanced Wireless Coverage: Deployment Optimization and Cost-Performance Trade-off—0
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints—0
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks—0
Sub-universal variational circuits for combinatorial optimization problemsCode0
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local PolicyCode1
A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement LearningCode0
Multitasking Evolutionary Algorithm Based on Adaptive Seed Transfer for Combinatorial Problem—0
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural NetworksCode1
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling—0
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation—0
VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs—0
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approachCode1
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman ProblemsCode1
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs—0
Route Planning Using Nature-Inspired Algorithms—0
JoinGym: An Efficient Query Optimization Environment for Reinforcement LearningCode1
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing SystemCode1
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates—0
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent—0
Learning to Select and Rank from Choice-Based Feedback: A Simple Nested Approach—0
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF SignalsCode0
Transformers in Reinforcement Learning: A Survey—0
A Graph Multi-separator Problem for Image Segmentation—0
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