A Bucket-Based Priority Queue for Bounded-Suboptimal and Anytime A* Search

We introduce a priority queue data structure, called a bucket heap, which generalizes the bucket queue commonly used to accelerate A* search for shortest-path problems with a small range of integer transition costs. Unlike a bucket queue, a bucket heap speeds up priority queue operations for bounded-suboptimal and Anytime A* algorithms guided by non-admissible node evaluation functions. It also provides direct access---without any additional overhead---to the underlying bucket queue of A*, which we show can be used to improve search performance in further ways.

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Publication Details

Journal
Proceedings of the International Symposium on Combinatorial Search
Published
2025-07-19
DOI
https://doi.org/10.1609/socs.v18i1.35976
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Bucket-Based Priority Queue for Bounded-Suboptimal and Anytime A* Search

Eric A. Hansen, Garrett M. Fereday
Proceedings of the International Symposium on Combinatorial Search
Optimization and Search Problems
article

A Bucket-Based Priority Queue for Bounded-Suboptimal and Anytime A* Search

Eric A. Hansen, Garrett M. Fereday
article en

Abstract

We introduce a priority queue data structure, called a bucket heap, which generalizes the bucket queue commonly used to accelerate A* search for shortest-path problems with a small range of integer transition costs. Unlike a bucket queue, a bucket heap speeds up priority queue operations for bounded-suboptimal and Anytime A* algorithms guided by non-admissible node evaluation functions. It also provides direct access---without any additional overhead---to the underlying bucket queue of A*, which we show can be used to improve search performance in further ways.

Proceedings of the International Symposium on Combinatorial SearchVol. 18
Mississippi State University (US)
National Science Foundation
Openalex Percentile: Top 81%
Optimization and Search Problems
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