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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 (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 |
|
| NLP | 2016-05-27 10:15 |
Kochi | Kochi Univ. | Implementation of parallel particle swarm optimizers on PC cluster Hidehiro Nakano, Ryosuke Matsumoto, Tomoyuki Sasaki, Arata Miyauchi (Tokyo City Univ.) NLP2016-13 |
This paper proposes an implementation method of the particle swarm optimizer (PSO) to PC cluster. In PSO, many particles... [more] | NLP2016-13 pp.63-66 |
| NLP | 2015-04-24 16:15 |
Kagawa | Kagawa Social Welfare Center | Design of a processing unit for particle swarm optimizers Hidehiro Nakano, Yasuhiro Shimada, Arata Miyauchi (Tokyo City Univ.) NLP2015-26 |
In this paper, a processor which realizes the parallel calculations of Particle Swarm Optimizer (PSO) is proposed. As th... [more] | NLP2015-26 pp.127-131 |
| NLP | 2014-05-27 10:55 |
Shimane | Big Heart IZUMO | Search of Multiple Solutions and the Number of Solutions by the Particle Swarm Optimizer Takuya Takemura, Takumi Sato, Toshimichi Saito (Hosei Univ.) NLP2014-10 |
This paper studies a particle swarm optimizer for multi-solution problems in the case where the number of solutions is... [more] |
NLP2014-10 pp.47-50 |
| NC, NLP | 2013-01-24 16:20 |
Hokkaido | Hokkaido University Centennial Memory Hall | Insensitive Particle Swarm Optimizers and Application to Exploring Periodic Points Kazuki Maruyama, Toshimichi Saito (Hosei Univ.) NLP2012-119 NC2012-109 |
This paper studies an insensitive particle swarm optimizer (IPSO) for multi-solution problems. The IPSO is governed by... [more] |
NLP2012-119 NC2012-109 pp.87-91 |
| NC | 2012-10-05 11:30 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | Effects of Collision and Insensitivity in Particle Swarm Optimizers for Multi-solution Problmes Kazuki Maruyama, Toshimichi Saito (Hosei Univ.) NC2012-52 |
This paper studies flexible particle swarm optimizer for multi-solution problems. The system is governed by deterministi... [more] | NC2012-52 pp.91-96 |
| MBE, NC (Joint) |
2012-03-16 10:40 |
Tokyo | Tamagawa University | Application of Population-based Optimizers to Exploring the Maximum Power Point Masaya Muraoka, Noriaki Mikami, Toshimichi Saito (HU) NC2011-181 |
This paper studies application of population-based optimizers to exploring maximum power points in potovoltaic systems. ... [more] |
NC2011-181 pp.353-358 |
| NLP | 2012-01-23 16:40 |
Fukushima | Aizu-keiko-do Hall | Insensitive Particle Swarm Optimizers and Multi-solution Problems Kazuki Maruyama, Ryosuke Sano, Toshimichi Saito (HU) NLP2011-132 |
This paper presents a novel particle swarm optimizer for multi-solution problems. The algorithm has several characteri... [more] |
NLP2011-132 pp.47-50 |
| NC, MBE (Joint) |
2011-03-08 14:10 |
Tokyo | Tamagawa University | The Search Performance of Multiple Particle Swarm Optimizers with Inertia Weight with Diversive Curiosity Hong Zhang (K.I.T.) NC2010-177 |
In this paper we propose a newly multiple particle swarm optimizers with inertia weight with diversive curiosity (MPSOIW... [more] | NC2010-177 pp.295-300 |
| NLP | 2010-12-13 10:35 |
Tottori | Yonago Convention Center | Discrete Particle Swarm Optimizers for Multi-solution Problems Masafumi Kubota, Toshimichi Saito (HU) NLP2010-114 |
This paper presents a basic discrete particle swarm optimization (DPSO) and considers its capability for niching problem... [more] | NLP2010-114 pp.15-19 |
| NC, MBE (Joint) |
2010-03-10 15:25 |
Tokyo | Tamagawa University | Several Methods of Curiosity-Driven Multi-Swarm Search Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2009-140 |
In this paper, we propose several methods of curiosity-driven multi-swarm search, i.e. multiple particle swarm optimizer... [more] | NC2009-140 pp.309-314 |
| NLP | 2010-03-10 15:50 |
Tokyo | Synthesis of PWM control signals using particle swarm optimizers Kengo Kawamura, Katsuma Ono, Toshimichi Saito (Hosei Univ.) NLP2009-182 |
This paper studies application to particle swarm optimization(PSO) design of switching inverters of pulse width modulati... [more] | NLP2009-182 pp.137-140 |
|
| NC, NLP | 2009-07-14 11:30 |
Nara | NAIST | Growing particle swarm optimizer with a population-dependent parameter Chihiro Kurosu, Toshimichi Saito (Hosei Univ.), Kenya Jin'no (Nippon Inst. of Tech.) NLP2009-32 NC2009-25 |
Particle swarm optimizer with growing structure is considered in this paper. If a particle exploring the optimum is ... [more] |
NLP2009-32 NC2009-25 pp.99-103 |
| CAS, NLP | 2009-01-22 10:35 |
Miyazaki | Growing Tree Particel Swarm Optimizers Eiji Miyagawa, Toshimichi Saito (HU) CAS2008-67 NLP2008-97 |
This paper presents a novel particle swarm optimizer characterized by growing network structure and flexible tree topolo... [more] | CAS2008-67 NLP2008-97 pp.25-28 |
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