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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 151–160 of 261 papers

TitleStatusHype
Optimistic variants of single-objective bilevel optimization for evolutionary algorithmsCode0
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution—0
On Bellman's Optimality Principle for zs-POSGs—0
Dynamic User Pairing for Non-Orthogonal Multiple Access in Downlink Networks—0
Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned SystemsCode0
Learning Heuristic Selection with Dynamic Algorithm ConfigurationCode0
Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions—0
Reactive Sample Size for Heuristic Search in Simulation-based Optimization—0
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising—0
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)—0
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