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arXiv · 2412.13888

Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

Saman Ahmadi·Andrea Raith·Guido Tack·Mahdi Jalili
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Abstract

The classic Resource Constrained Shortest Path (RCSP) problem aims to find a cost optimal path between a pair of nodes in a network such that the resources used in the path are within a given limit. Having been studied for over a decade, RCSP has seen recent solutions that utilize heuristic-guided search to solve the constrained problem faster. Building upon the bidirectional A* search paradigm, this research introduces a novel constrained search framework that uses efficient pruning strategies to allow for accelerated and effective RCSP search in large-scale networks. Results show that, compared to the state of the art, our enhanced framework can significantly reduce the constrained search time, achieving speed-ups of over to two orders of magnitude.

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Saman Ahmadi, Andrea Raith, Guido Tack, Mahdi Jalili. 2024-12-18. Resource Constrained Pathfinding with Enhanced Bidirectional A* Search. https://doi.org/10.1609/aaai.v39i25.34892

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