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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 251–275 of 1277 papers

TitleStatusHype
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization—0
Combinatorial Topic Models using Small-Variance Asymptotics—0
Application of Decision Tree Classifier in Detection of Specific Denial of Service Attacks with Genetic Algorithm Based Feature Selection on NSL-KDD—0
Combining Learned Representations for Combinatorial Optimization—0
Causal Discovery with Reinforcement Learning—0
An interacting replica approach applied to the traveling salesman problem—0
Causal Effect Identification in Uncertain Causal Networks—0
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?—0
An Improved Reinforcement Learning Algorithm for Learning to Branch—0
AED: An Anytime Evolutionary DCOP Algorithm—0
Cakewalk Sampling—0
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention—0
An Improved ACS Algorithm for the Solutions of Larger TSP Problems—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
Budgeted Influence Maximization for Multiple Products—0
A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization—0
A Class of Linear Programs Solvable by Coordinate-Wise Minimization—0
Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions—0
D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation—0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization—0
Bottleneck potentials in Markov Random Fields—0
A new neighborhood structure for job shop scheduling problems—0
A Dynamic Algorithm for the Longest Common Subsequence Problem using Ant Colony Optimization Technique—0
Boosting Combinatorial Problem Modeling with Machine Learning—0
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