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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
15:25		 Misc. Kikai-Shinko-Kaikan Bldg. Machine learning-based solubility prediction and meta-heuristic search for multiple mutation patterns
Kaisei Kojima, Kazutoshi Sakakibara, Masaki Nakamura (Toyama Prefectural Univ.), Daisuke Matsui (Ritsumeikan Univ.) MSS2023-80 NLP2023-132		 In order to solubilize insoluble proteins that cannot be used for industrial purposes, experiments have been performed t... [more] MSS2023-80 NLP2023-132
pp.48-53
NLP 2015-11-01
12:05		 Okinawa Nobumoto Ohama Memorial Hall Analysis of Deterministic Swarm Intelligence Optimization
Kenya Jin'no (NIT) NLP2015-121		 To solve optimization problems promptly, various optimal solution search methods called meta-heuristics are proposed. Su... [more] NLP2015-121
pp.81-85
NLP 2015-05-19
11:50		 Aomori Yu-sa Asamushi Basic Performances of Deterministic PSO Networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akira Taguchi (Tokyo City Univ.) NLP2015-38		 PSO network is the method of dividing population of PSO into multiple sub-swarm groups, and each sub-swarm group is conn... [more] NLP2015-38
pp.61-66
NLP 2010-03-09
11:10		 Tokyo   Soft Tabu Search for Solving Traveling Salesman Problem
Takafumi Matsuura, Tohru Ikeguchi (Saitama Univ.) NLP2009-163		 To avoid local minima of combinatorial optimization problems, the tabu search have been proposed. Although the tabu sear... [more] NLP2009-163
pp.31-36
EE 2008-11-20
16:10		 Tokyo Kikai-Shinko-Kaikan Bldg. Optimal Scheduling in the Demonstrative Research for Energy Network
Akira Takeuchi, Toshihiro Hayashi, Yousuke Nozaki (Nippon Telegraph and Telephone Corporation), Toyonari Shimakage (NTT FACILITIES) EE2008-53		 We developed an optimal scheduling technology that determines the operating schedule of energy network that minimizes CO... [more] EE2008-53
pp.51-56
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