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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2021-12-17 14:55 |
Oita | J:COM Horuto Hall OITA | PSO-based Bifurcation Point Detection of Discrete-Time Dynamical System with Numerical Differentiation Takashi Kawashita, Haruna Matsushita (kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Chukyo Univ.)  NLP2021-52 |
In dynamical systems, it is important to analyze bifurcation phenomena, and Particle Swarm Optimization(PSO)-based bifur... [more] | NLP2021-52 pp.44-47 |
| CAS, NLP | 2021-10-15 10:50 |
Online | Online | Searching multiple solutions for gear train optimization by GPSA Satoshi Wakahara, Yoshikazu Yamanaka, katsutoshi Yoshida (Utsunomiya Univ.) CAS2021-32 NLP2021-30 |
This paper aims to simultaneously design multiple gear trains by minimizing the weight of the gearbox. To this end, grav... [more] | CAS2021-32 NLP2021-30 pp.84-89 |
| NLP | 2017-03-14 10:25 |
Aomori | Nebuta Museum Warasse | Search Capability of Random Search PSO with Linked Random Update Kouhei Sakayori, Masato Kaneko, Toshiya Iwai (Nihon Univ.) NLP2016-107 |
Particle Swarm Optimization (PSO) is a metaheuristics using the swarm intelligence. Although PSO is usually applied to t... [more] | NLP2016-107 pp.7-12 |
| NLP, CAS | 2014-10-17 09:20 |
Ehime | Ehime University | Evaluating availability and Solving Shortest Path Problems by Adaptable Independent-minded Particle Swarm Optimization Yoko Ishii, Haruna Matsushita (Kagawa Univ.) CAS2014-70 NLP2014-64 |
The Shortest-Path Problem (SPP) is one of the most fundamental problems in graph theory. We proposed to investigate on t... [more] | CAS2014-70 NLP2014-64 pp.95-98 |
| NC, MBE (Joint) |
2014-03-18 15:20 |
Tokyo | Tamagawa University | A learning method for dynamic binary neural networks using a particle swarm optimizer Romu Nagano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NC2013-113 |
This paper proposes a new learning algorithm to the dynamic binary neural network (DBNN). The proposed method aims to im... [more] | NC2013-113 pp.145-149 |
| NLP | 2014-03-11 11:15 |
Tokyo | Sophia University | Basic performances of PSO networks Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-180 |
Recently, systems have been large scale and complicated with the development of technology. Optimization algorithms such... [more] | NLP2013-180 pp.91-96 |
| NLP | 2013-07-08 10:50 |
Okinawa | Miyako Island Marine Terminal | A Discrete Particle Swarm Optimization based on Piecewise Constant Oscillator Yuya Kurita, Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tec.) NLP2013-28 |
In this paper, we propose a method called Discrete Particle Swarm optimization based on Piecewise Constant Oscillator(DP... [more] | NLP2013-28 pp.11-14 |
| NLP | 2013-03-14 10:45 |
Chiba | Nishi-Chiba campus, Chiba Univ. | The influence of distribution error on blind signal separation method using PSO Masanori Kimoto, Syoya Tomita, Kenya Jin'no (Nippon Inst. of Tech.) NLP2012-147 |
Blind signal separation (BSS) is a technique for reconstructing each channel's source signal using only the observed mix... [more] | NLP2012-147 pp.19-23 |
| NLP | 2010-12-13 09:10 |
Tottori | Yonago Convention Center | Multi-swarm particle swarm optimization for constrained optimization problems Kazuhiro Homma, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2010-111 |
In this work, we have considered a multi-swarm Particle Swarm Optimization (abbr. PSO) in order to slove some constraine... [more] | NLP2010-111 pp.1-4 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-19 16:25 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Multi-channel Acoustic Echo Canceler Based on Particle Swarm Optimization Takanobu Narita, Masanori Kimoto, Kenya Jin'no (Nippon Inst. of Tech.) NLP2010-22 NC2010-22 |
In multichannel acoustic echo canceler based on linear combination, the uniqueness problem exists that adaptive filt... [more] |
NLP2010-22 NC2010-22 pp.165-170 |
| 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 |
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| NC, NLP | 2009-07-13 15:40 |
Nara | NAIST | Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO Masaki Yoshimura, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto (Tokyo City Univ.) NLP2009-26 NC2009-19 |
To realize long-term operation of WSNs, we discuss in this study a method of suppressing the communication load on senso... [more] | NLP2009-26 NC2009-19 pp.67-71 |
| AP | 2008-01-23 14:30 |
Okinawa | Tyeruru.(Naha) | Optimal design of radome with particle swarm optimization Hidetoshi Chiba, Yoshio Inasawa, Hiroaki Miyashita, Yoshihiko Konishi (Mitsubishi Electric Corp.) AP2007-126 |
This paper presents a optimal radome design using optimization algorithm. Design of a radome is, in general, a formidabl... [more] | AP2007-126 pp.21-25 |
| NC | 2007-03-16 15:10 |
Tokyo | Tamagawa University | Evolutionary Design of Particle Swarm Optimization Using Real-Coded Genetic Algorithm Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) |
Particle Swarm Optimization (PSO) is a stochastic and population-based search algorithm that demonstrates its effctivene... [more] | NC2006-198 pp.65-70 |
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