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New heuristics aim to boost bidirectional search efficiency

By PulseAugur Editorial · [3 sources] ·

Two new research papers propose novel heuristic approaches for bidirectional search algorithms. The first paper introduces BiXDFBnB, a bidirectional depth-first branch-and-bound algorithm adapted for longest path problems, which aims to reduce node expansions and potentially improve runtime. The second paper presents a new heuristic class called front-to-attractors (F2A), designed to offer the informativeness of front-to-front heuristics with significantly reduced computational overhead by using a smaller set of attractors instead of evaluating all states on the opposite frontier. AI

IMPACT These advancements in search algorithms could lead to more efficient AI systems, particularly in areas requiring complex pathfinding or state-space exploration.

RANK_REASON Two academic papers published on arXiv proposing new algorithms and heuristic classes for search problems.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New heuristics aim to boost bidirectional search efficiency

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Two academic papers published on arXiv proposing new algorithms and heuristic classes for search problems.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Alvin Zou, Muhammad Suhail Saleem, Maxim Likhachev ·

    Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search

    arXiv:2606.07047v1 Announce Type: new Abstract: Heuristics play a central role in the performance of bidirectional search algorithms, which commonly rely on two main classes. Front-to-end (F2E) heuristics estimate the distance from a state s to the target of the search (the goal …

  2. arXiv cs.AI TIER_1 English(EN) · Tzur Shubi, Ariel Felner, Solomon Eyal Shimony, Shahaf S. Shperberg ·

    Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics

    arXiv:2606.05956v1 Announce Type: new Abstract: Bidirectional heuristic search can potentially reduce search effort for problems amenable to backward search. Therein, it is well-known that front-to-front heuristics can reduce the number of node expansions, but their overhead is s…

  3. arXiv cs.AI TIER_1 English(EN) · Maxim Likhachev ·

    Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search

    Heuristics play a central role in the performance of bidirectional search algorithms, which commonly rely on two main classes. Front-to-end (F2E) heuristics estimate the distance from a state s to the target of the search (the goal for forward search or the start for backward sea…

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