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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
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
 Results 1 - 11 of 11  /   
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