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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 241–250 of 261 papers

TitleStatusHype
Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO SystemsCode0
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic ConsistencyCode0
Semantic variation operators for multidimensional genetic programmingCode0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Deliberative and Conceptual Inference in Service RobotsCode0
Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehiclesCode0
Shielding in Resource-Constrained Goal POMDPsCode0
Similarity-Based Equational Inference in PhysicsCode0
Hybrid Planning for Dynamic Multimodal Stochastic Shortest PathsCode0
Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer samplingCode0
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