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Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement
Not provided in the abstract
search algorithmsbounded-suboptimal searchheuristic methodsprobabilistic methods
2609.10584
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1h ago80%
Abstract
The paper introduces Probabilistic Focal Search (PFS), which enhances bounded-suboptimal search efficiency by balancing heuristic guidance and lower-bound advancement.
Reality Card
Core Claim
PFS can reduce node expansions by about 90% or more in scenarios where long f_min plateaus delay useful FOCAL admissions.
Method / Result
PFS outperforms traditional Focal Search (FS) in benchmarks like N-Puzzle and TSP, especially when FOCAL admission is a bottleneck.
Limitations
The probabilistic factor's effectiveness is domain- and bound-dependent, which may affect reproducibility across different problem types.
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