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Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2024-03-01
13:40		 Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem
Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39		 In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] AI2023-39
pp.13-18
CCS, NLP 2022-06-10
17:10		 Osaka
(Primary: On-site, Secondary: Online)		 Application of pairing optimization algorithm to non-orthogonal multiple access
Naoki Fujita, Andre Roehm, Takatomo Mihana, Ryoichi Horisaki (The Univ. of Tokyo), Aohan Li (The Univ. of Electro-Communications), Mikio Hasegawa (Tokyo Univ. of Science), Makoto Naruse (The Univ. of Tokyo) NLP2022-25 CCS2022-25		 Non-Orthogonal Multiple Access (NOMA) is a promising next-generation communication technology that enables multiple term... [more] NLP2022-25 CCS2022-25
pp.129-134
NLP, NC
(Joint)		 2019-01-23
14:10		 Hokkaido The Centennial Hall, Hokkaido Univ. Chaos Search Method for Multiple-Vehicle Bike Sharing System Routing Problem
Honami Tsushima, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2018-106		 A multiple-Vehicle Bike Sharing System Routing Problem (mBSSRP) is proposed as a combinatorial optimization problem to r... [more] NLP2018-106
pp.57-62
IBISML 2014-11-18
15:00		 Aichi Nagoya Univ. [Poster Presentation] Enumerating all the optimal solutions of multiple travelling salesman problem by using simpath algorithm
Masashi Ogawa, Masato Inoue (Waseda Univ.) IBISML2014-78		 In this manuscript, we propose an exact method which answers all the optimal solutions of "multiple traveling salesman p... [more] IBISML2014-78
pp.321-328
 Results 1 - 4 of 4  /   
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