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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 31–40 of 261 papers

TitleStatusHype
Approximating Permutations with Neural Network Components for Travelling Photographer Problem—0
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm—0
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection—0
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems—0
A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick—0
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters—0
Bi-directional Shape Correspondences (BSC): A Novel Technique for 2-d Shape Warping in Quadratic Time?—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
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