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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| NLP | 2017-07-14 14:50 |
Okinawa | Miyako Island Marine Terminal | Multi-objective Particle Swarm Optimizer Networks with Tree Topology Kyosuke Miyano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2017-47 |
In this paper, we consider island-model multi-objective particle swarm optimization (IMOPSO) in which plural sub-swarms ... [more] | NLP2017-47 pp.103-106 |
| 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 |
|
| SIS | 2015-12-03 13:55 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Selective Impulse Noise Reduction Filters Using a Group of Weighted Median Filters with Different Properties Yosuke Nabetani, Mitsuji Muneyasu (Kansai Univ.) SIS2015-31 |
In this paper, we propose a selective filtering technique to switch filters applied for each pixel, according to a noise... [more] | SIS2015-31 pp.13-18 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 13:55 |
Aichi | Nagoya Inst of Tech. | Automation of high performance system building for large vocabulary speech recognition using evolution strategy with pareto optimality Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki (Tokyo Tech), Shinji Watanabe (MERL), Kevin Duh (NAIST) SP2015-75 |
The performance of speech recognition tasks can be significantly improved by the use of deep neural networks (DNN). Howe... [more] | SP2015-75 pp.31-36 |
| AI | 2015-06-18 11:30 |
Tokyo | A Study on Optimal Power Generation Mix with Expansion of Renewable Energy Soichi Takaya, Mina Ryoke (Tsukuba Univ.) AI2015-3 |
The energy security and the environmental preservation are indispensable to achieve the sustainable energy society. Th... [more] |
AI2015-3 pp.13-18 |
|
| 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 |
| AP, WPT (Joint) |
2014-10-15 16:45 |
Hokkaido | Hokkaido University, Clark Memorial Student Center | Design of the series fed microstrip patch array antenna by the pareto genetic algorithm Hiroki Tsutsumi, Syunsuke Sudo, Yoshihiko Kuwahara (Shizuoka Univ.), Hiroyuki Kamo (Nidec Elesys) AP2014-113 |
Series fed microstrip patch array antenna has characteristic that power feeding loss is small, and especially it is vali... [more] | AP2014-113 pp.25-30 |
| 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 |
| R | 2013-05-17 10:40 |
Hiroshima | Improvement of an algorithm to search two-objective network for Pareto solutions Natsumi Takahashi (Tokyo Metropolitan Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Hisashi Yamamoto (Tokyo Metropolitan Univ.) R2013-2 |
In this study, we consider two-objective network design problem with all-terminal reliability and construction cost. And... [more] | R2013-2 pp.7-12 |
|
| R | 2012-12-14 10:00 |
Tokyo | An Algorithm for Searching Pareto Solutions of Multi-objective Network Design Problems Natsumi Takahashi (Tokyo Met. Univ.), Tomoaki Akiba (Chiba Tech.), Hisashi Yamamoto (Tokyo Met. Univ.) R2012-68 |
In our study, we consider an algorithm for searching Pareto solutions of optimal design problem of a two-objective netwo... [more] | R2012-68 pp.1-6 |
|
| NLP | 2012-03-27 16:55 |
Nagasaki | Fukue Cultural Hall | Solving Multi-objective Optimization Problems Using Particle Swarm Optimization Methods with Switching by Chaotic Neurodynamics Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2011-150 |
In this paper, a method for solving multi-objective optimization problems is proposed. The proposed method switches more... [more] | NLP2011-150 pp.51-56 |
| CAS, NLP | 2011-10-20 10:50 |
Shizuoka | Shizuoka Univ. | Multi-Objective Optimization Using Chaotic Neural Network Masayuki Okazawa, Tomoya Suzuki (Ibaraki Univ.) CAS2011-35 NLP2011-62 |
There are various combinational optimization problems in the real world. Although there exist many solving algorithms f... [more] |
CAS2011-35 NLP2011-62 pp.13-18 |
| NC, IPSJ-BIO [detail] | 2011-06-24 15:40 |
Okinawa | 50th Anniversary Memorial Hall, University of the Ryukyus | The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems Hong Zhang (K.I.T.) NC2011-17 |
In this paper we investigate the search performance of a particle swarm optimizer with inertia weight (PSOIW) for solvin... [more] | NC2011-17 pp.131-136 |
| NLP | 2011-03-10 11:15 |
Tokyo | Tokyo University of Science | On Switching control method of PWM Inverters based on Multi-Objective Differential Evolution Chihiro Kurosu, Toshimichi Saito (Hosei Univ.) NLP2010-168 |
This paper studies Multi-Objective Differential Evolution algorithm. We consider multi-objective optimization of switch... [more] |
NLP2010-168 pp.29-34 |
| NLP | 2010-11-20 09:30 |
Miyagi | Tohoku University (RIEC) | On Multi-Objective Optimization of Switching Circuits Operation based on Swarm Intelligence Chihiro Kurosu, Kengo Kawamura, Toshimichi Saito (Hosei Univ.) NLP2010-107 |
This paper studies multi-objective optimization algorithms based on swarm intelligence. We consider optimization of sw... [more] |
NLP2010-107 pp.39-42 |
| R | 2010-07-30 15:55 |
Yamagata | An Efficient Algorithm for the Partial Group of Pareto-Solutions at a Multi-Objective Network Tomoaki Akiba (Yamagata Coll. of Ind & Tech.), Liu Danqin, Hisashi Yamamoto (Tokyo Metro Univ.) R2010-23 |
The multi-objective network model can be applied to a well-known problems, which is the problem of finding the routing p... [more] | R2010-23 pp.37-41 |
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