| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 | 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 |
| 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, 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 |
| 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, 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 |
| NC | 2008-01-15 15:20 |
Hokkaido | Centennial Hall, Hokkaido Univ. | A Proposal of Particle Swarm Optimization with Diversive Curiosity Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-92 |
How to keep a balance between exploitation and exploration in Particle Swarm Optimization (PSO) search for efficiently s... [more] | NC2007-92 pp.31-36 |
[Return to Top Page]