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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
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
YaoGAN: Learning Worst-case Competitive Algorithms from Self-generated Inputs—0
Yordle: An Efficient Imitation Learning for Branch and Bound—0
Robust Metric Learning by Smooth Optimization—0
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems—0
A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing—0
Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy—0
Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions—0
A 10.8mW Mixed-Signal Simulated Bifurcation Ising Solver using SRAM Compute-In-Memory with 0.6us Time-to-Solution—0
A 2-approximation algorithm for the softwired parsimony problem on binary, tree-child phylogenetic networks—0
A2Perf: Real-World Autonomous Agents Benchmark—0
A Bayesian approach for prompt optimization in pre-trained language models—0
A Bayesian framework for functional calibration of expensive computational models through non-isometric matching—0
A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser Calibration—0
A case study of algorithm selection for the traveling thief problem—0
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning—0
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling—0
Accelerating Matroid Optimization through Fast Imprecise Oracles—0
Accelerating Quantum Approximate Optimization Algorithm using Machine Learning—0
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms—0
A Class of Linear Programs Solvable by Coordinate-Wise Minimization—0
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles—0
A Comparative Study of Meta-heuristic Algorithms for Solving Quadratic Assignment Problem—0
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