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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2018-01-23 15:35 |
Kagawa | Sunport Hall Takamatsu | Traffic Distribution Scheme based on Real-Coded Genetic Algorithm in Heterogeneous Network Takahiro Sekii, Shigeaki Ogose (Kagawa Univ.)  IT2017-100 SIP2017-108 RCS2017-314 |
Processing data traffic in multiple wireless networks improves the user throughput in heterogeneous networks (HetNets). ... [more] | IT2017-100 SIP2017-108 RCS2017-314 pp.261-266 |
| NC | 2014-01-20 10:25 |
Fukuoka | Kyusyu Institute of Technology | Hodgkin Huxley Type Model Parameter Estimation for Single Neuron via Massively Parallel RCGA
-- Application to the Silkmoth Antennal Lobe Neuron -- Akihiko Goto, Tomoki Kazawa, Daisuke Miyamoto (Univ. of Tokyo), Stephan Shuichi Haupt (Bielefeld Univ.), Yusuke Mori, Ryohei Kanzaki (Univ. of Tokyo) NC2013-68 |
It is necessary to estimate model parameters of a neuron to simulate electrical activity of the neuron on a computer. We... [more] | NC2013-68 pp.7-12 |
| SIS | 2011-12-15 14:20 |
Yamaguchi | A Reproduction Method of Real-Coded Genetic Algorithm Based on Self-Organizing Map Yoshiaki Ueda, Ryosuke Kubota (Ube NCT) SIS2011-44 |
Genetic algorithm is a search algorithm based on mechanism of natural selection and natural genetics. To solve optimizat... [more] | SIS2011-44 pp.25-29 |
|
| NC, NLP | 2011-01-25 15:00 |
Hokkaido | Hokakido Univ. | A Proposal of Evolutionary Particle Swarm Optimizer with Inertia Weight Hong Zhang (K.I.T.) NLP2010-151 NC2010-115 |
In this paper, we propose an evolutionary particle swarm optimizer with inertia weight (EPSOIW) for obtaining the PSOIW ... [more] | NLP2010-151 NC2010-115 pp.153-158 |
| ITE-MMS, MRIS | 2010-12-09 15:30 |
Ehime | Ehime Univ. | A Study of Read/Write Channel Modeling for Two-Dimensional Magnetic Recording Masato Yamashita, Hisashi Osawa, Yoshihiro Okamoto, Yasuaki Nakamura (Ehime Univ.), Yoshio Suzuki (Nihon Univ.), Kenji Miura, Hiroaki Muraoka (Tohoku Univ.) MR2010-46 |
Read/write channel modeling using a discrete Voronoi diagram is studied for two-dimensional magnetic recording. The simp... [more] | MR2010-46 pp.31-38 |
| MSS | 2009-08-06 14:20 |
Tokyo | JAIST Tokyo Campus | Parameter estimation by combination of differential elimination and genetic algorithm in the biological network including unmeasured variables Masahiko Nakatsui, Katsuhisa Horimoto (AIST) CST2009-13 |
In this study, a symbolic-numeric method is proposed to estimate kinetic parameters on the entire network, only from tim... [more] | CST2009-13 pp.7-12 |
| NC, MBE (Joint) |
2009-03-12 16:05 |
Tokyo | Tamagawa Univ. | Effects of Canonical Particle Swarm Optimizer with Diversive Curiosity Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2008-137 |
This paper proposes a new method, named Canonical Particle Swarm Optimizer with Diversive Curiosity (CPSO/DC), which is ... [more] | NC2008-137 pp.201-206 |
| NC, NLP | 2008-06-27 15:10 |
Okinawa | University of the Ryukyus | A Learning Algorithm of Binary Neural Networks Based on Real-Coded GA Yu Akedo, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.) NC2008-26 |
In this paper, we propose a learning algorithm of Binary Neural Networks (BNNs) based on real-coded genetic algorithm. ... [more] | NC2008-26 pp.75-78 |
| NC, MBE (Joint) |
2008-03-14 14:50 |
Tokyo | Tamagawa Univ | Model Selection of Canonical Particle Swarm Optimizer by EPSO: Meta-Optimization Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-196 |
We have proposed Evolutionary Particle Swarm Optimization, EPSO, which can estimate PSO models for efficiently solving v... [more] | NC2007-196 pp.495-500 |
| MBE | 2008-01-25 15:45 |
Fukuoka | Kyushu Univ. | [Poster Presentation]
The Segmentation Method for the Boundary Detection of Lesion Area Using a Levelset Method based on Real-Coded Genetic Algorithm Junho Cha, Toshihiro Nishimura (Waseda Univ.) MBE2007-95 |
When the doctor does diagnosis, the quality of ultrasound images is poor to recognize the lesion area because of effects... [more] | MBE2007-95 pp.63-66 |
| NC | 2007-06-15 14:25 |
Okinawa | OIST Seaside House | Verification Test on The Effectiveness of Evolutionary Particle Swarm Optimization Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-23 |
Since optimizing the values of parameters in Particle Swarm Optimization (PSO) can improve its performance of finding a... [more] |
NC2007-23 pp.85-90 |
| NC | 2007-03-16 15:10 |
Tokyo | Tamagawa University | Evolutionary Design of Particle Swarm Optimization Using Real-Coded Genetic Algorithm Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) |
Particle Swarm Optimization (PSO) is a stochastic and population-based search algorithm that demonstrates its effctivene... [more] | NC2006-198 pp.65-70 |
| NC | 2006-06-16 10:10 |
Okinawa | OIST | A Method of Data Classification of Bagging Using HRGA/P and Its Applications Hong Zhang, Masumi Ishikawa (K.I.T.) |
To obtain a classification model with high generalization ability, we propose to use a hybrid real-coded genetic algorit... [more] | NC2006-25 pp.19-24 |
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