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Heuristic Search

Heuristic Search is a problem-solving method that uses practical rules or "guides" (heuristics) to find solutions more quickly than exhaustive search, by focusing on the most promising paths first.

Papers

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Showing 51–60 of 261 papers

TitleStatusHype
DeepType: Multilingual Entity Linking by Neural Type System EvolutionCode0
Deliberative and Conceptual Inference in Service RobotsCode0
LLM-Virus: Evolutionary Jailbreak Attack on Large Language ModelsCode0
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex ColoringCode0
Evolving Deep Convolutional Neural Networks for Image ClassificationCode0
Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated AnnealingCode0
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesCode0
Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehiclesCode0
A Training Data Recipe to Accelerate A* Search with Language ModelsCode0
A Survey on Mathematical Reasoning and Optimization with Large Language ModelsCode0
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