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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 211–220 of 261 papers

TitleStatusHype
Heuristic Search for Structural Constraints in Data Association—0
Evolving Deep Convolutional Neural Networks for Image ClassificationCode0
On the Discrimination Power and Effective Utilization of Active Learning Measures in Version Space Search—0
Solving Mixed Model Workplace Time-dependent Assembly Line Balancing Problem with FSS Algorithm—0
Learning Heuristic Search via ImitationCode1
Neural Machine Translation with Gumbel-Greedy Decoding—0
A Formal Characterization of the Local Search Topology of the Gap Heuristic—0
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains—0
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node ExpansionsCode0
Generation of Near-Optimal Solutions Using ILP-Guided Sampling—0
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