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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-14 10:25 |
Misc. | Kikai-Shinko-Kaikan Bldg. | A Particle Swarm Optimizer Based on Chaotic Spiking Oscillators with Dynamic Thresholds for Velocity Vectors Ahmed Ali, Hidehiro Nakano (Tokyo City Univ.)  MSS2023-87 NLP2023-139 |
Particle Swarm Optimization (PSO) is a metaheuristic algorithm known for solving complex optimization problems. Despite ... [more] | MSS2023-87 NLP2023-139 pp.77-82 |
| CCS | 2023-11-12 10:25 |
Toyama | Toyama Prefectural University | Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] | CCS2023-34 pp.53-57 |
| CCS | 2022-11-18 16:00 |
Mie | (Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] | CCS2022-60 pp.85-90 |
| CCS, NLP | 2022-06-10 15:55 |
Osaka | (Primary: On-site, Secondary: Online) |
Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and solving performances Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2022-22 CCS2022-22 |
Optimizer based on spiking neural-oscillator networks (OSNN) are one of the deterministic swarm intelligence algorithms... [more] |
NLP2022-22 CCS2022-22 pp.111-116 |
| NLP | 2021-12-17 10:00 |
Oita | J:COM Horuto Hall OITA | Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] | NLP2021-43 pp.1-6 |
| 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 |
| NLP | 2018-04-27 16:35 |
Kumamoto | Kumaoto Univ. | A Particle Swarm Optimizer Based on Periodically Swiched Particle Networks Santana Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-27 |
In this paper, we propose a method to periodically switch the couplings between particles in Particle Swarm Optimization... [more] | NLP2018-27 pp.133-137 |
| 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 |
| NLP | 2017-07-14 14:50 |
Okinawa | Miyako Island Marine Terminal | Multi-objective Particle Swarm Optimizer Networks with Tree Topology Kyosuke Miyano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2017-47 |
In this paper, we consider island-model multi-objective particle swarm optimization (IMOPSO) in which plural sub-swarms ... [more] | NLP2017-47 pp.103-106 |
| NLP | 2017-05-11 16:25 |
Okayama | Okayama University of Science | I-PD Controller Design Using Particle Swarm Optimizer
-- Settling Time Minimization Under Constraint of the Gain Crossover Frequency -- Yuzo Ohta (Kobe Univ.) NLP2017-14 |
In this paper, we consider the parameter tuning of I-PD controller which achieves minimum settling time control under th... [more] | NLP2017-14 pp.69-72 |
| 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 |
| CAS, NLP | 2016-10-27 09:55 |
Tokyo | Parameter Optimization for Power Line Communications Considering Operational Status of Electrical Appliances Shunsuke Yasui, Takeshi Kamio, Ena Kono, Hisato Fujisaka (Hiroshima City Univ.) CAS2016-39 NLP2016-65 |
Power line communication (PLC) is considered as one of communication systems to support a smart grid. Especially, PLC ha... [more] | CAS2016-39 NLP2016-65 pp.5-10 |
|
| NLP | 2016-09-15 14:30 |
Hyogo | Konan Univ. | A PSO with Pbest reset and its application to dynamic maximum power point tracking Kosuke Tanakajima, Ryusuke Akeno, Toshimichi Saito (Hosei Univ.) NLP2016-61 |
This paper presents a particle swarm optimizer algorithm for the maximum power point tracking in time-variant photovolta... [more] | NLP2016-61 pp.89-92 |
| NLP | 2016-09-15 15:20 |
Hyogo | Konan Univ. | A particle swarm optimizer with two rotation modes Hidehiro Nakano, Tomoyuki Sasaki, Arata Miyauchi (Tokyo City Univ.) NLP2016-63 |
This article proposes a particle swarm optimizer (PSO) with two rotation modes. Each search particle in the proposed P... [more] |
NLP2016-63 pp.97-100 |
| 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 | 2016-03-25 10:00 |
Kyoto | Kyoto Sangyo Univ. | Implementation of a specific processor for particle swarm optimizer networks Atsushi Moriyasu, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2015-150 |
This paper attempts to implement a processor specialized for particle swarm optimizer networks on FPGA. In the particle ... [more] | NLP2015-150 pp.47-51 |
| 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 | 2015-01-26 10:00 |
Oita | Compal Hall | Finding plural solutions in high dimensional optimization problems using PSO with temporal couplings Kensuke Kimura, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-113 |
In the Particle Swarm Optimizer (PSO), the search performances can significantly decrease for high--dimensional optimiza... [more] | NLP2014-113 pp.1-5 |
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