New algorithm tackles longest path problems with bidirectional search

Researchers have developed BiXDFBnB, a new bidirectional depth-first branch-and-bound algorithm. This algorithm adapts the Single-Frontier Bidirectional Search framework, originally for shortest paths, to solve the Generalized Longest Simple Path problem. The approach naturally incorporates front-to-front heuristics, aiming to reduce node expansions and potentially improve runtime for longest-path problems like LSP, Snakes, and CIB. AI

IMPACT Introduces a novel algorithmic approach for complex pathfinding problems, potentially improving efficiency in related AI applications.

RANK_REASON The cluster contains a research paper detailing a new algorithm and its application to specific problems. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

• BiXDFBnB
• Coil-in-the-Box
• Generalized Longest Simple Path
• Single-Frontier Bidirectional Search

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