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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Interactive Design System Presenting Candidate Solutions Appealing to User's Sensibility by Image Generative AI
Nagisa Sawada, Akira Hara, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII)
We propose an interactive design system that optimizes the color scheme of a bouquet. The optimization is performed by I... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:00
Hokkaido Hokkaido Univ. Advertisement Banner Layout Generation based on Evolutionary Computation
Soichiro Terasaka (UTokyo), Hiroyuki Seshime (Septeni Japan), Toshihiko Yamasaki (UTokyo) ITS2022-42 IE2022-59
Digital advertisements play an important role in today's websites and smartphone applications for the purpose of maintai... [more] ITS2022-42 IE2022-59
pp.5-10
IN, RCS, NV
(Joint)
2022-05-26
11:50
Kanagawa Keio University (Hiyoshi Campus)
(Primary: On-site, Secondary: Online)
Application of Darwinian Neurodynamics Model for Dynamic TDD Resource Allocation
Lu Chen, Masayuki Murata (Osaka Univ.) IN2022-3
Following the launch of 5G mobile network services, private 5G networks are getting started to be available, and have a ... [more] IN2022-3
pp.13-18
SIS 2021-12-03
11:45
Online Online Interactive Tile Design System by GAN Considering Impression of Words and Its Subjective Evaluation
Mao Takegishi, Kaoru Arakawa (Meiji Univ.) SIS2021-24
Designing complex tile shapes is difficult due to mathematical constraints and artistry requirements. In related researc... [more] SIS2021-24
pp.15-19
SWIM, SC 2021-08-27
15:55
Online Online Power Reduction of Automatic Heterogeneous Device Offloading
Yoji Yamato (NTT) SWIM2021-25 SC2021-23
In recent years, utilization of heterogeneous hardware other than small core CPU such as GPU, FPGA or many core CPU is i... [more] SWIM2021-25 SC2021-23
pp.75-80
NC, MBE
(Joint)
2021-03-03
16:25
Online Online Realization of Global Search and Local Search in Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech) NC2020-53
For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of gl... [more] NC2020-53
pp.59-64
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
16:10
Online Online Solving the Parity Problem by Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech) NC2020-24
In recent years, the technology of particle swarm optimization is expanding remarkably. Especially, the technical develo... [more] NC2020-24
pp.83-88
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
13:25
Online Online A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech) NC2020-3 IBISML2020-3
In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to... [more] NC2020-3 IBISML2020-3
pp.15-20
NC, MBE
(Joint)
2020-03-05
14:15
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
NC2019-97 The purpose of this study is to clarify the search performance and characteristics of differential evolution (DE) and pa... [more] NC2019-97
pp.125-130
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
17:10
Kagoshima Kagoshima University [Invited Talk] Pattern Optimization Using Evolutionary Computation
Satoshi Ono (Kagoshima Univ.) IMQ2018-51 IE2018-135 MVE2018-82
This study focuses Evolutionary Computation (EC) that is a black-box optimization framework for non-differentiable, glob... [more] IMQ2018-51 IE2018-135 MVE2018-82
pp.165-171
AI 2018-12-07
15:30
Fukuoka   Evolutionary Multitask Deep Reinforcement Learning in 2D Maze Task
Shota Imai, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-29
In Deep reinforcement learning, it is difficult to converge when the exploration is insufficient or a reward is sparse. ... [more] AI2018-29
pp.19-24
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
CQ 2017-05-30
13:25
Miyazaki Hotel Merieges (Miyazaki) An optimization method for flooding in wireless networks
Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CQ2017-27
In Wireless Sensor Networks, flooding is used in diffusing advertising messages, control messages, and so on.
If flood... [more]
CQ2017-27
pp.75-78
NLP 2016-07-22
10:00
Hokkaido Hokkaido Univ. Centennial Hall An Artificial Bee Colony Algorithm Suited for Parallel Distributed Processing
Yu Isono, Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2016-40
As approximate solutions in large-scale problems are obtained by evolutionary computation algorithms, many search indivi... [more] NLP2016-40
pp.33-38
NLP 2015-03-04
13:00
Hyogo Hyogo Prefecture Citizens' Hall The study of the evolution of cooperation due to the introduction of peer-punishment depending on the difference of payoffs
Tetsushi Ohdaira (Aoyama Gakuin Univ.) NLP2014-154
There are two types of punishment, i.e. peer-punishment that a player punishes an uncooperative player by paying certain... [more] NLP2014-154
pp.63-68
NS, IN
(Joint)
2015-03-03
15:10
Okinawa Okinawa Convention Center Self-Organizing Resource Allocation Scheme Using Evolutionary Game Theoretic Approach for Large-Scale Distributed Systems
Shingo Yamagiwa (Osaka Univ.), Masahiro Sasabe (NAIST), Tetsuya Takine (Osaka Univ.) NS2014-267
Large distributed systems, such as peer-to-peer networks and wireless sensor networks, provide users with multiple servi... [more] NS2014-267
pp.529-534
NLP 2014-03-11
10:00
Tokyo Sophia University An optimization method for router allocations in ZigBee sensor networks
Natsumi Mizuta, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-177
ZigBee networks are expected to use various applications such as environmental observation. Nodes that form the ZigBee n... [more] NLP2013-177
pp.73-77
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
16:30
Osaka   Facial Image Clustering by Evolutionary Distance Metric Learning
Taishi Megano, Satoshi Ono (Kagoshima Univ.), Ken-ichi Fukui (Osaka Univ.), Kohki Ninomiya (Kagoshima Univ.), Masayuki Numao (Osaka Univ.), Shigeru Nakayama (Kagoshima Univ.) PRMU2013-101 MVE2013-42
In data mining and machine learning, the definition of distance between two data points substantially affects clustering... [more] PRMU2013-101 MVE2013-42
pp.119-124
NLP 2013-07-08
13:00
Okinawa Miyako Island Marine Terminal A router assignment scheme in cluster-tree ZigBee networks using a discrete PSO
Natsumi Mizuta, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-30
ZigBee networks are expected to use various applications such as environmental observation. Nodes that form the ZigBee n... [more] NLP2013-30
pp.21-24
NC 2011-10-19
15:05
Fukuoka Ohashi Campus, Kyushu Univ. [Invited Talk] Research on Accelerating IEC and IEC Applications for Human Science
Hideyuki Takagi (Kyushu Univ.) NC2011-53
We introduce two research directions of our recent interactive evolutionary computation (IEC) research; one is accelerat... [more] NC2011-53
pp.47-52
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