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 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:25 |
Okinawa |
Okinawa Institute of Science and Technology |
The Search Performance of Hybrid Particle Swarm Optimizers with Information Sharing Hiroshi Sho (KIT) NC2018-6 |
As an earlier study,
author proposed multiple particle swarm optimizers with information sharing,
and showed that the ... [more] |
NC2018-6 pp.3-8 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:50 |
Okinawa |
Okinawa Institute of Science and Technology |
Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems Hiroshi Sho (KIT) NC2018-7 |
For realizing better search performance and efficiency, in this paper, author proposes three methods which are multiple ... [more] |
NC2018-7 pp.9-14 |
MBE, NC, NLP (Joint) |
2018-01-27 13:35 |
Fukuoka |
Kyushu Institute of Technology |
The Search Feature of Particle Swarm Optimizer with Sensors in Dynamic Environment Hiroshi Sho (KIT) NC2017-63 |
In order to perform the search of particle swarm optimizer under dynamic environment, as a previous study, author has pr... [more] |
NC2017-63 pp.77-82 |
MBE, NC (Joint) |
2016-11-19 14:35 |
Miyagi |
Tohoku University |
Multiple Particle Swarm Optimizers Based on Information Sharing Hiroshi Sho (KyuTech) NC2016-37 |
In order to improve the search performance of multiple particle swarm optimizers, this paper proposes multiple particle ... [more] |
NC2016-37 pp.27-32 |
HCS |
2016-08-20 17:10 |
Kyoto |
|
The Performance Verification of Particle Swarm Optimizer with Sensors Hiroshi Sho (KyuTech) HCS2016-52 |
For improving the search performance of basic particle swarm optimizers in dynamic environments, in this paper, we propo... [more] |
HCS2016-52 pp.121-126 |
USN |
2008-05-22 14:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Tokyo) |
[Invited Talk]
Design for Ubiquitous Demonstration Space Hiroshi Shoji (HIROSHI SHOJI ARCHITECT&ASSOCIATES, LLC) USN2008-8 |
It is expected that utilization of Ubiquitous Sensor Network(USN) technology will play an important role toward realizin... [more] |
USN2008-8 pp.43-48 |
PRMU, HIP |
2007-09-04 10:00 |
Aichi |
Nagoya Univ. |
Hiroshi Shoji, Kazuhito Murakami (Aichi Prefectural Univ.) PRMU2007-75 HIP2007-84 |
[more] |
PRMU2007-75 HIP2007-84 pp.173-180 |