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 |