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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
09:20
Okinawa Okinawa Convention Center A Configuration Method for Wireless Sensor Networks with Mobile Sink Using Particle Swarm Optimization
Sousuke Aramaki, Masami Yoshida, Taku Noguchi (Ritsumeikan Univ) NS2023-202
Wireless sensor networks often suffer from the "hot spot" problem, where specific nodes near the sink experience rapid e... [more] NS2023-202
pp.178-183
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
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Proposal of Hyperparameter Optimization Framework Using a Non-Stationary Multi-Armed Bandit Algorithm
Kenshi Abe, Masahiro Nomura (CA) IBISML2018-62
Hyperparameter optimization problem is an important problem that appears in areas such as machine learning. Hyperparamet... [more] IBISML2018-62
pp.135-142
NC, NLP
(Joint)
2016-01-29
09:55
Fukuoka Kyushu Institute of Technology Investigation on coupling parameters in deterministic PSO networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akira Taguchi (Tokyo City Univ.) NLP2015-136
PSO networks (PSONs) which is networking PSO are one of the multi swarm techniques. In PSONs, since each sub-swarm group... [more] NLP2015-136
pp.57-62
NLP 2015-05-19
11:50
Aomori Yu-sa Asamushi Basic Performances of Deterministic PSO Networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akira Taguchi (Tokyo City Univ.) NLP2015-38
PSO network is the method of dividing population of PSO into multiple sub-swarm groups, and each sub-swarm group is conn... [more] NLP2015-38
pp.61-66
NLP 2014-05-27
11:20
Shimane Big Heart IZUMO Solving Performances of PSO Networks with Stochastic Couplings
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-11
In this paper, a stochastic coupling network topology is introduced in a particle swarm optimizer network. In the propos... [more] NLP2014-11
pp.51-56
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 2013-10-29
16:45
Kagawa Sanport Hall Takamatsu Solving Shortest Path Problems of Complex Networks Using Adaptable Independent-minded Particle Swarm Optimization
Yoko Ishii, Haruna Matsushita (Kagawa Univ.) NLP2013-109
The Shortest Path Problem (SPP) is one of the most fundamental problems in graph theory. The purpose of this study is to... [more] NLP2013-109
pp.211-214
NLP 2013-07-08
10:00
Okinawa Miyako Island Marine Terminal The effects of the random number and the network structure for the searching ability of PSO
Takuya Sekiguchi, Kenya Jin'no (NIT) NLP2013-26
The PSO can solve the optimization problem at high speed.
However, the PSO is easy to converge to a local minimum solut... [more]
NLP2013-26
pp.1-4
SR 2011-07-28
15:05
Kanagawa YRP [Technology Exhibit] Implementation of OFDM signal processing on PSoC microcontroller
Ryo Kodama, Fumihito Sasamori, Osamu Takyu, Shiro Handa (Shinshu Univ.) SR2011-31
A microcontroller is useful for easily providing digital communications in sensor network, owing to low energy consumpti... [more] SR2011-31
pp.87-91
NC, NLP, IPSJ-BIO [detail] 2010-06-19
15:10
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan The Influence of Network Structure of Deterministic PSO Systems
Kenya Jin'no (Nippon Inst. of Tech.) NLP2010-19 NC2010-19
A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems.
The... [more]
NLP2010-19 NC2010-19
pp.151-156
NC 2009-01-19
10:30
Hokkaido Hokkaido Univ. Solving Relay Dedicated Node Assignment Problem in Wireless Sensor Networks Using PSO with Suppression
Masaki Yoshimura, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. of Tech.) NC2008-82
In sensor networks, learge number of sensor nodes are scattered in an observed target field.
Each sensor node transmit... [more]
NC2008-82
pp.1-6
 Results 1 - 13 of 13  /   
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