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] |
|
NLP |
2024-05-09 16:20 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Adaptive large neighborhood search for vehicle routing problem with drones Kazuma Nakajima, Takafumi Matsuura, Takayuki Kimura (NIT) |
(To be available after the conference date) [more] |
|
CAS, CS |
2024-03-14 09:30 |
Okinawa |
|
Verification of PSS-PSO Parameters in IIR Filter Design Natsuka Yanagita, Kenji Suyama (Tokyo Denki Univ.) CAS2023-111 CS2023-104 |
PSS-PSO has been developed as a IIR filter design method with a high performance. PSS-PSO is a method to escape from loc... [more] |
CAS2023-111 CS2023-104 pp.1-5 |
NLP, MSS |
2024-03-13 13:30 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Mixed integer programming model for flexible job shop problems with process converging Kosuke Aoki, Masaki Nakamura, Kazutoshi Sakakibara (Toyama Prefectural Univ.) MSS2023-76 NLP2023-128 |
In this paper, we propose a scheduling method for manufacturing sites that include production lines with convergence pro... [more] |
MSS2023-76 NLP2023-128 pp.29-34 |
NLP, MSS |
2024-03-14 10:25 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
A Particle Swarm Optimizer Based on Chaotic Spiking Oscillators with Dynamic Thresholds for Velocity Vectors Ahmed Ali, Hidehiro Nakano (Tokyo City Univ.) MSS2023-87 NLP2023-139 |
Particle Swarm Optimization (PSO) is a metaheuristic algorithm known for solving complex optimization problems. Despite ... [more] |
MSS2023-87 NLP2023-139 pp.77-82 |
NLP, MSS |
2024-03-14 14:50 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
On optimization problems in paralleled switching power converters Kosei Shibuya, Ryunosuke Numata, Toshimichi Saito (HU) MSS2023-94 NLP2023-146 |
This paper studies a biobjective optimization problem in paralleled buck converters. In order to define the biobjective... [more] |
MSS2023-94 NLP2023-146 pp.111-114 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:10 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Voting-based Solution to Base Station Placement Problem Ryo Nakamura, Ryotaro Matsuo (Fukuoka Univ.), Toshiro Nakahira, Daisuke Murayama, Tomoaki Ogawa (NTT) CQ2023-85 |
With the rapid increase in wireless devices and the diversification of frequency band, the wireless network has become m... [more] |
CQ2023-85 pp.75-80 |
NS, IN (Joint) |
2024-03-01 09:20 |
Okinawa |
Okinawa Convention Center |
Power Consumption Optimization Method Adaptable to Network Bandwidth Fluctuation for Distributed Video Analysis System based on Gene Regulatory Network Seishiro Inoue, Masaaki Yamauchi, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.) IN2023-94 |
To construct a digital twin, we have to analyze a large amount of video data in real-time to recognize real-world situat... [more] |
IN2023-94 pp.171-176 |
SS, MSS |
2024-01-18 11:55 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Design of Block-Sparse Controllers for Cyber-Physical Systems Yuta Kawano, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2023-65 SS2023-44 |
In sensor and actuator networks, it is important to consider not only the choice of sensors/actuators but also that of c... [more] |
MSS2023-65 SS2023-44 pp.76-80 |
NLP |
2023-11-28 14:55 |
Okinawa |
Nago city commerce and industry association |
Multi-objective optimization problems of switched dynamical systems Ryunosuke Numata, Toshmichi Saito (HU) NLP2023-67 |
This paper studies a multi-objective optimization problem for boost converters with photovoltaic input equivalent circui... [more] |
NLP2023-67 pp.39-43 |
IA |
2023-11-22 14:30 |
Aomori |
Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Proposal of Microservices Configuration Method for In-Network Computing Environment Tomonori Yokono, Takuji Tachibana (Univ. Fukui) IA2023-37 |
Microservice architecture, which develops large-scale software by linking small independent services, enables appropriat... [more] |
IA2023-37 pp.5-9 |
CCS |
2023-11-11 15:00 |
Toyama |
Toyama Prefectural University |
[Invited Talk]
Quantum-Annealing-Inspired Swarm-Intelligence-Like Simulated Annealing Algorithm Akio Yoshizawa (AIST) CCS2023-29 |
Quantum-inspired classical algorithms for combinatorial optimization have been attracting great attention recently. The ... [more] |
CCS2023-29 pp.25-30 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model Naganuma Shunta, Fujita Tsukumo, Arai Maki (Tokyo Univ. of Science), Li Aohan (The Univ. of Electro-Communications), Hasegawa Mikio (Tokyo Univ. of Science) |
The Ising model is a mathematical model that represents the spin interactions of microscopic components of a substance. ... [more] |
|
NS |
2023-10-04 15:20 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] |
NS2023-76 p.30 |
AI |
2023-09-12 14:15 |
Hokkaido |
|
A Study of Distributed Constraint Optimization for Publish/Subscribe Messaging Platforms Toshihiro Matsui (Nitech) AI2023-27 |
Optimization problems and solution methods on multiagent systems have been studied as basis of distributed resource allo... [more] |
AI2023-27 pp.157-160 |
SIP |
2023-08-07 14:45 |
Osaka |
Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
On optimization over Stiefel manifold based on adaptive Cayley parametrization Keita Kume, Isao Yamada (TokyoTech) SIP2023-50 |
The Stiefel manifold, say St(p,N), is the set of all N-by-p matrices whose column vectors are orthonormal. Optimization ... [more] |
SIP2023-50 p.20 |
CCS, NLP |
2023-06-08 15:35 |
Tokyo |
Tokyo City Univ. |
A place and route method in AQFP circuits using multi-objective optimization Syota Kasai, Hidehiro Nakano (Tokyo City Univ.) NLP2023-18 CCS2023-6 |
In recent years, research has been conducted on AQFP circuits, which are superconducting logic circuits that consume les... [more] |
NLP2023-18 CCS2023-6 pp.21-24 |
QIT (2nd) |
2023-05-29 16:30 |
Kyoto |
Katsura Campus, Kyoto University |
[Poster Presentation]
Improvement of QAOA for Solving TSP Efficiently Hiroki Akita, Hiroshi Sekigawa, Wataru Takeda (TUS) |
Quantum Approximate Optimization Algorithm (QAOA) is one of the most known quantum algorithms made for solving optimizat... [more] |
|
NLP, MSS |
2023-03-15 13:40 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Algorithm and Software Investigation for Bifurcation Point Detection via Parallel Nested-Layer Particle Swarm Optimization Tomo Hasegawa (Tokyo Univ. of Technology), Haruna Matsushita (Kagawa Univ.), Takuji Kousaka (Chukyo Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology) MSS2022-70 NLP2022-115 |
This paper reports on the implementation of an application software for bifurcation point detection that supports parall... [more] |
MSS2022-70 NLP2022-115 pp.43-48 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 10:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Blind deconvolution with non-smooth regularization via Bregman proximal DC algorithms Shota Takahashi (SOKENDAI), Mirai Tanaka, Ikeda Shiro (ISM) PRMU2022-79 IBISML2022-86 |
Blind deconvolution is a technique to recover an original signal without knowing a convolving filter from its convolutio... [more] |
PRMU2022-79 IBISML2022-86 pp.111-118 |