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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 876–900 of 1277 papers

TitleStatusHype
Dynamic Submodular Maximization—0
Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations—0
Modular Multi Target Tracking Using LSTM Networks—0
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization—0
A Knowledge Representation Approach to Automated Mathematical Modelling—0
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications—0
Contrastive Losses and Solution Caching for Predict-and-OptimizeCode0
Storage placement policy for minimizing frequency deviation: A combinatorial optimization approach—0
A Spectral Method for Unsupervised Multi-Document Summarization—0
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity—0
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problemsCode0
Continuous Latent Search for Combinatorial Optimization—0
From Local Structures to Size Generalization in Graph Neural Networks—0
CoCo: Learning Strategies for Online Mixed-Integer Control—0
Neural Large Neighborhood Search—0
Virtual Savant: learning for optimization—0
Binary matrix factorization on special purpose hardware—0
An Efficient Circuit Compilation Flow for Quantum Approximate Optimization Algorithm—0
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking—0
An Efficient Algorithm for Cooperative Semi-Bandits—0
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks—0
On Size Generalization in Graph Neural Networks—0
Complex Vehicle Routing with Memory Augmented Neural Networks—0
On combinatorial optimization for dominating sets (literature survey, new models)—0
LeadCache: Regret-Optimal Caching in NetworksCode0
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