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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 55  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2024-05-09
15:05
Kagawa Kagawa Prefecture Social Welfare Center A Gray Wolf Optimization Method with Adaptive Large Neighborhood Search for the Traveling Salesman Problems
Rikuto Shibutani, Takayuki Kimura (NIT)
(To be available after the conference date) [more]
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-07-01
10:20
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Solving the Traveling Salesman Problem Using Oscillator Interaction
Tomoaki Kinugasa (Tohoku Univ), Futo Ono, Kazuhiro Sakamoto (TMPU) NC2023-23 IBISML2023-23
In this study, a single Kuramoto oscillator is considered as a city, and the traveling salesman problem is tackled using... [more] NC2023-23 IBISML2023-23
pp.149-152
NLP 2023-05-13
11:15
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) Parameter adjustment methods of ACO based on moving costs in time-dependent TSP
Teppei Yamauchi, Hidehiro Nakano (Tokyo City Univ.) NLP2023-4
The Time Dependent Traveling Salesman Problem (TDTSP) is a combinatorial optimization problem with dynamically changing ... [more] NLP2023-4
pp.16-19
NLP, MSS 2023-03-15
16:35
Nagasaki
(Primary: On-site, Secondary: Online)
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models. -- A Case of Method for Solving Asymmetric Traveling Salesman Problems --
Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] MSS2022-78 NLP2022-123
pp.81-84
MSS, NLP 2022-03-29
13:00
Online Online A Relation between Gap and City Layout for Asymmetric Traveling Salesman Problems Using Hidden Markov Models
Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) MSS2021-74 NLP2021-145
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] MSS2021-74 NLP2021-145
pp.101-104
CAS, ICTSSL 2021-01-29
10:10
Online Online Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model
Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] CAS2020-59 ICTSSL2020-44
pp.107-110
CAS, ICTSSL 2021-01-29
10:30
Online Online A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics
Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana (Shonan Inst. of Tech.) CAS2020-60 ICTSSL2020-45
In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method... [more] CAS2020-60 ICTSSL2020-45
pp.111-114
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-14
14:15
Ehime Ehime Prefecture Gender Equality Center Solving Traveling Salesman Problem Using Grid Partitioning via Ising-Model based Solver
Akira Dan, Takeshi Nishikawa, Takashi Sato (Kyoto Univ.) VLD2019-40 DC2019-64
Ising-model based solver is gaining increasing attention
for its efficiency in finding approximate solutions for
com... [more]
VLD2019-40 DC2019-64
pp.97-102
ICD, CPSY, CAS 2018-12-21
16:00
Okinawa   Accelerating the Held-Karp Algorithm for the symmetric traveling salesman problem
Kazuro Kimura, Shinya Higa, Masao Okita, Fumihiko Ino (Osaka Univ.) CAS2018-84 ICD2018-68 CPSY2018-50
In this paper, we propose an acceleration method for the Held-Karp algorithm that solves the symmetric traveling salesma... [more] CAS2018-84 ICD2018-68 CPSY2018-50
pp.31-36
QIT
(2nd)
2018-11-26
13:30
Tokyo The University of Tokyo [Poster Presentation] High-threshold GKP quantum computation with realistically noisy devices
Kosuke Fukui (Kyoto Univ.), Akihisa Tomita (Hokkaido Univ.), Keisuke Fjii (Kyoto Univ.)
To implement fault-tolerant quantum computation with continuous variables, the Gottesman--Kitaev--Preskill (GKP) qubit h... [more]
MSS, CAS, IPSJ-AL [detail] 2018-11-12
14:25
Shizuoka   A Study on Spin Update Method of Ising Model
Yuki Naito, Kunihiro Fujiyoshi (TUAT) CAS2018-61 MSS2018-37
Ising model, which consists of spins and interactions of them, is a novel way to solve combinatorial optimization proble... [more] CAS2018-61 MSS2018-37
pp.19-24
MVE 2018-10-26
15:00
Hokkaido   Planning Movement of a Camera for Finding People in an Office Enviroment
Koki Sakata, Koh Kakusho (Kwansei Gakuin Univ), Masaaki Iiyama (Kyoto Univ), Satoshi Nishiguchi (Osaka Institute of Technology Univ) MVE2018-37
This article discusses motion planning for a camera equipped on a mobile platform such as a drone to find a certain pers... [more] MVE2018-37
pp.105-110
NLP, CCS 2018-06-10
09:30
Kyoto Kyoto Terrsa Performance Analysis of a Coherent Ising Machine with Hardware Constraints
Hirotake Ito, Yukio Murata (TUS), Hiroki Takesue (NTT), Kazuyuki Aihara (TU), Mikio Hasegawa (TUS) NLP2018-39 CCS2018-12
A fast solution method of combinational optimization problem using a Coherent Ising Machine has been developed. A method... [more] NLP2018-39 CCS2018-12
pp.63-68
QIT
(2nd)
2018-06-04
13:20
Hiroshima ICCH Ran [Poster Presentation] Tracking Quantum Error Correction
kosuke Fukui, Akihisa Tomita, Atsushi Okamoto (Hokkaido Univ.)
To implement fault-tolerant quantum computation with continuous variables, the Gottesman–Kitaev–Preskill (GKP) qubit has... [more]
MSS, NLP
(Joint)
2018-03-14
15:20
Osaka   Method for Solving Asymmetric Traveling Salesman Problems by Dynamically Changes the Number of Cities Consider as One City
Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) NLP2017-113
In this paper, the authors extend a proposed method for asymmetric traveling salesman problems. Asymmetric traveling sal... [more] NLP2017-113
pp.61-66
CCS 2017-03-10
10:30
Tokyo ELSI, TITECH Solving Asymmetric Traveling Salesman Problems by Coherent Ising Machine
Yukio Murata (Tokyo Univ. of Science), Hiroyuki Yasuda (Univ. of Tokyo), Kaori Kuroda (Tokyo Univ. of Science), Kazuyuki Aihara (Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2016-46
The effectiveness of high-speed combinatorial optimization method using Coherent Ising Machine (CIM) has been shown. Hop... [more] CCS2016-46
pp.7-12
SP 2017-01-21
11:00
Tokyo The University of Tokyo [Poster Presentation] An Interactive Test System for Japanese Special Mora Pronunciation Using Smartphones and Its Evaluation
Sho Sasaki, Jouji Miwa (Iwate Univ.) SP2016-68
This paper describes an interactive test system for pronunciation of Japanese special morae in contracted sound words us... [more] SP2016-68
pp.23-28
SANE 2016-04-22
13:00
Tokyo Kikai-Shinko-Kaikan Bldg. [Special Talk] Radar Cross Section and High-frequency Asymptotic Theory, Its Applications
Hirokazu Kobayashi (OIT) SANE2016-6
We will discuss about the high-frequency asymptotic theory for radar cross section (RCS) and its applications when elect... [more] SANE2016-6
pp.29-38
NS, IN
(Joint)
2016-03-03
11:00
Miyazaki Phoenix Seagaia Resort Method for Determining Traveling Route in Consideration of Number of Users for Message Ferry Using UAV
Tomohiro Kondo, Takuji Tachibana (Univ. of Fukui) NS2015-185
In delay tolerant networks (DTN) where Unmanned Aerial Vehicle (UAV) is used as message ferry, users can transmit data t... [more] NS2015-185
pp.99-104
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