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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM 2024-03-22
14:00
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Virtual Network Embedding Based on Property of Substrate Network in Multi-service Environments
Yamato Negishi, Ryo Yamamoto, Satoshi Ohzahata (UEC) ICM2023-58
The need for flexible network control to accommodate diverse service demands in heterogeneous environments is emerging t... [more] ICM2023-58
pp.65-70
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
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
MSS, CAS, IPSJ-AL [detail] 2023-11-17
09:45
Okinawa   Analyzing the impact of shrink rates on equity in peer-to-peer energy transactions
Eiichi Kusatake, Norihiko Shinomiya (Soka Univ.) CAS2023-74 MSS2023-44
In recent times, numerous nations have been actively endorsing distributed energy systems to promote the use of clean en... [more] CAS2023-74 MSS2023-44
pp.75-79
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
CAS, CS 2023-03-01
09:55
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem
Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] CAS2022-97 CS2022-74
pp.6-11
NC, NLP 2023-01-28
09:50
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Performance evaluation of success-history based parameter adaptation for differential evolution for multi-objective optimization problems
Yusuke Matsuzaki, Jun Adachi, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2022-81 NC2022-65
A Multi-objective Optimization Problems (MOPs) is a problem for simultaneously optimizing objective functions with diffe... [more] NLP2022-81 NC2022-65
pp.1-6
IBISML 2022-12-23
13:40
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier
Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2022-59
Pareto optimization is one of the multi-objective optimization problems for multiple black-box functions. Recently, an o... [more] IBISML2022-59
pp.112-119
CAS, SIP, VLD, MSS 2022-06-16
11:15
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
A Peer-to-Peer Energy Trading Model for Optimizing both Efficiency and Fairness
Eiichi Kusatake, Norihiko Shinomiya (Soka Univ.) CAS2022-4 VLD2022-4 SIP2022-35 MSS2022-4
Distributed energy systems are currently used in many countries for clean energy utilization.
Direct energy trading is ... [more]
CAS2022-4 VLD2022-4 SIP2022-35 MSS2022-4
pp.17-21
NS 2020-05-14
16:00
Online Online Virtual CCN Construction with Multi-Objective Optimization Problem to Realize Efficient Content Delivery in Limited Network Resources
Takumi Morioka, Yasuhiro Urayama (NIT, Kochi College) NS2020-11
In the communication network, a lot of kinds of digital contents, such as video on demand and digital book, have been de... [more] NS2020-11
pp.13-17
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2020-02-27
17:00
Kagoshima Yoron-cho Chuou-Kouminkan HLS by multi-objective optimization under resource constraints -- Approach to extracting coarse-grained parallelism using functional language --
Fukuhei Hamazaki, Tetsuro Yamazaki, Ryota Shioya (U-Tokyo), Kenichi Koizumi, Hiroshi Tezuka, Mary Inaba (U-Tokyo) CPSY2019-104 DC2019-110
For engineers who are not familiar with circuits, it is difficult to optimize circuit considering trade-off factors such... [more] CPSY2019-104 DC2019-110
pp.99-104
NS, RCS
(Joint)
2019-12-20
09:00
Tokushima Tokushima Univ. Design of MEC 5G Cellular Networks: Viewpoints from Telecom Operators and Backhaul Owners
Jin Nakazato, Makoto Nakamura, Tao Yu, Zongdian Li, Gia Khanh Tran, Kei Sakaguchi (Tokyo Tech) NS2019-150 RCS2019-253
Recently, the mobile traffic demand is increasing due to the drastic growth in the number of connected devices and smart... [more] NS2019-150 RCS2019-253
pp.83-88
CAS, MSS, IPSJ-AL [detail] 2019-11-29
13:00
Fukuoka   A multi-objective optimization method on consumer's benefit in peer-to-peer energy trading
Mitsue Imahori, Ryo Hase, Norihiko Shinomiya (Soka Univ.) CAS2019-58 MSS2019-37
In recent years, many countries have been promoting to shift from centralized energy systems to distributed systems for ... [more] CAS2019-58 MSS2019-37
pp.105-109
R 2018-07-27
14:00
Hokkaido   Evaluation for Obtaining the Pareto Solutions of a Bi-Objective Network with All-Terminal Reliability by Genetic Algorithm
Tomoaki Akiba (CIT), Natsumi Takahashi (AGU) R2018-11
There are many network systems in the real world, for example, Internet, electricity network and traffic network. In thi... [more] R2018-11
pp.1-6
NS, IN
(Joint)
2018-03-02
09:00
Miyazaki Phoenix Seagaia Resort Evolutionary Network Power-Saving Method based on Pareto Optimal Control
Yosuke Akishita, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2017-113
The power consumption of networks has been increasing as the service over the Internet becomes popular, and has become a... [more] IN2017-113
pp.141-146
IN, NV
(Joint)
2016-07-16
10:55
Hokkaido Matsumaecho Sougo Center Network power saving based on Pareto optimal control
Yosuke Akishita, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2016-35
The power consumption of networks has been increasing as the service over the Internet becomes pop- ular, and has become... [more] IN2016-35
pp.73-78
AI 2015-12-19
09:20
Okinawa   Resource Allocation with Preference Order and Effective Allocation Methods
Kengo Saito, Toshiharu Sugawara (Waseda Univ.) AI2015-46
This paper introduces a resource allocation problem with agents'
preference orders and
proposes efficient algorithms ... [more]
AI2015-46
pp.119-124
RCS, NS
(Joint)
2014-12-19
13:30
Mie Iseshi-Kanko-Bunka-Kaikan (Mie) An Optimization Algorithm of AP Placement applying Particle Swarm Optimization in Wireless Mesh Networks
Takuma Hoshi, Akio Koyama (Yamagata Univ.) NS2014-157
Wireless Mesh Networks (WMN) which connects among WLANs by wireless link can cover the wide area inexpensively and easil... [more] NS2014-157
pp.57-62
R 2014-05-23
15:45
Aichi   Effective restriction method on calculated networks for obtaining Pareto solutions
Natsumi Takahashi, Hisashi Yamamoto (Tokyo Met. Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Xiao Xiao (Tokyo Met. Univ.) R2014-6
In this study, we consider two-objective network design problem with all-terminal reliability and construction cost. And... [more] R2014-6
pp.29-34
NC, IPSJ-BIO 2013-06-27
16:35
Okinawa Okinawa Institute of Science and Technology The wing shape analysis of Mars aircraft by SOM-based shape space method
Kyouhei Itonaga (Kyushu Inst. of Tech.), Sho Yakushiji (CALACULU Inc.), Akira Oyama (JAXA), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-3
The purpose of this paper is to analyze the wing shapes for Mars exploration aircraft by using the shape space method ba... [more] NC2013-3
pp.35-40
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