Abstract
The shortest path problem in graphs is a cornerstone of AI theory and applications. Existing algorithms generally ignore edge weight computation time. We present a generalized framework for weighted directed graphs, where edge weight can be computed (estimated) multiple times, at increasing accuracy and run-time expense. This raises several generalized variants of the shortest path problem. We introduce the problem of finding a path with the tightest lower-bound on the optimal cost. We then present two complete algorithms for the generalized problem, and empirically demonstrate their efficacy.
Original language | English |
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Title of host publication | ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings |
Editors | Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu |
Publisher | IOS Press BV |
Pages | 2607-2614 |
Number of pages | 8 |
ISBN (Electronic) | 9781643684369 |
DOIs | |
State | Published - 28 Sep 2023 |
Event | 26th European Conference on Artificial Intelligence, ECAI 2023 - Krakow, Poland Duration: 30 Sep 2023 → 4 Oct 2023 |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Volume | 372 |
ISSN (Print) | 0922-6389 |
ISSN (Electronic) | 1879-8314 |
Conference
Conference | 26th European Conference on Artificial Intelligence, ECAI 2023 |
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Country/Territory | Poland |
City | Krakow |
Period | 30/09/23 → 4/10/23 |
Bibliographical note
Publisher Copyright:© 2023 The Authors.
Funding
The research was partially funded by ISF Grant #2306/18 and BSF-NSF grant 2017764. Thanks to K. Ushi. This research was also supported by ISF grant #909/23 to Ariel Felner. Eyal Weiss is supported by the Adams Fellowship Program of the Israel Academy of Sciences and Humanities and by Bar-Ilan University’s President Scholarship.
Funders | Funder number |
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BSF-NSF | 2017764, 909/23 |
Bar-Ilan University | |
Israel Academy of Sciences and Humanities | |
Israel Science Foundation | 2306/18 |