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 |