Comparing front-to-front and front-to-end heuristics in bidirectional search

Lior Siag; Shahaf S. Shperberg; Ariel Felner; Nathan R. Sturtevant

doi:10.1609/socs.v16i1.27296

Comparing front-to-front and front-to-end heuristics in bidirectional search

Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant

Department of Software and Information Systems Engineering

Ben-Gurion University of the Negev

Research output: Contribution to journal › Conference article › peer-review

Abstract

Most recent theoretical and algorithmic work in bidirectional heuristic search (BiHS) used front-to-end (F2E) heuristics that estimate the distance to the start and goal states. In this paper, we start exploring front-to-front (F2F) heuristics, which estimate the distance between any pair of states. Devising efficient algorithms that use F2F heuristics is a challenging task. Thus, it is important to first understand the benefits of using F2F heuristics compared to F2E heuristics. To this end, we theoretically and experimentally demonstrate that there is a great potential in using F2F heuristics implying that F2F BiHS is a promising area of future research.

Original language	American English
Pages (from-to)	158-162
Number of pages	5
Journal	The International Symposium on Combinatorial Search
Volume	16
Issue number	1
DOIs	https://doi.org/10.1609/socs.v16i1.27296
State	Published - 1 Jan 2023
Event	16th International Symposium on Combinatorial Search, SoCS 2023 - Prague, Czech Republic Duration: 14 Jul 2023 → 16 Jul 2023

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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10.1609/socs.v16i1.27296

Cite this

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title = "Comparing front-to-front and front-to-end heuristics in bidirectional search",

abstract = "Most recent theoretical and algorithmic work in bidirectional heuristic search (BiHS) used front-to-end (F2E) heuristics that estimate the distance to the start and goal states. In this paper, we start exploring front-to-front (F2F) heuristics, which estimate the distance between any pair of states. Devising efficient algorithms that use F2F heuristics is a challenging task. Thus, it is important to first understand the benefits of using F2F heuristics compared to F2E heuristics. To this end, we theoretically and experimentally demonstrate that there is a great potential in using F2F heuristics implying that F2F BiHS is a promising area of future research.",

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T1 - Comparing front-to-front and front-to-end heuristics in bidirectional search

AU - Siag, Lior

AU - Shperberg, Shahaf S.

AU - Felner, Ariel

AU - Sturtevant, Nathan R.

PY - 2023/1/1

Y1 - 2023/1/1

N2 - Most recent theoretical and algorithmic work in bidirectional heuristic search (BiHS) used front-to-end (F2E) heuristics that estimate the distance to the start and goal states. In this paper, we start exploring front-to-front (F2F) heuristics, which estimate the distance between any pair of states. Devising efficient algorithms that use F2F heuristics is a challenging task. Thus, it is important to first understand the benefits of using F2F heuristics compared to F2E heuristics. To this end, we theoretically and experimentally demonstrate that there is a great potential in using F2F heuristics implying that F2F BiHS is a promising area of future research.

AB - Most recent theoretical and algorithmic work in bidirectional heuristic search (BiHS) used front-to-end (F2E) heuristics that estimate the distance to the start and goal states. In this paper, we start exploring front-to-front (F2F) heuristics, which estimate the distance between any pair of states. Devising efficient algorithms that use F2F heuristics is a challenging task. Thus, it is important to first understand the benefits of using F2F heuristics compared to F2E heuristics. To this end, we theoretically and experimentally demonstrate that there is a great potential in using F2F heuristics implying that F2F BiHS is a promising area of future research.

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DO - 10.1609/socs.v16i1.27296

M3 - Conference article

SN - 2832-9171

VL - 16

SP - 158

EP - 162

JO - The International Symposium on Combinatorial Search

JF - The International Symposium on Combinatorial Search

IS - 1

T2 - 16th International Symposium on Combinatorial Search, SoCS 2023

Y2 - 14 July 2023 through 16 July 2023

ER -

Comparing front-to-front and front-to-end heuristics in bidirectional search

Abstract

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