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Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
Bibliographic Information
- Title
- Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
- Author
- Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi
Journal
-
- Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)
-
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022) － 2022
- Tweet
Details 詳細情報について
-
- CRID
- 1010013168668991489
-
- Article Type
- journal article
-
- Data Source
-
- KAKEN
