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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2023-11-29
14:55
Okinawa Nago city commerce and industry association An Examination of Sinusoidal Variability Coefficients for Enhancing Diversity in Sub-swarms Formed by GPSA
Yoshikazu Yamanaka (Utsunomiya Univ) NLP2023-78
(To be available after the conference date) [more] NLP2023-78
pp.75-78
NLP 2023-05-13
13:00
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) A study of optimal solution search behavior using GPSA with devided particle swarms
Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2023-5
To find multiple optimal solutions simultaneously, the authors have proposed the gravitational particle swarm algorithm (... [more] NLP2023-5
pp.20-22
NC, NLP 2023-01-29
15:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Parametrization of balancing tasks based on state feedback control model -- Proposition of nonlinear single-degree-of-freedom model --
Hibiki Nakayama, Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2022-105 NC2022-89
We have been researching dynamic characteristics of human behavior in balancing tasks.
In our previous study, we propos... [more]
NLP2022-105 NC2022-89
pp.129-134
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-22
15:10
Online Online Parametrization of balancing tasks based on state feedback control model -- Proposition of single-degree-of-freedom model --
Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2021-113 MICT2021-88 MBE2021-74
Our previous study performed cooperative balancing experiments between
two human subjects and discussed their statistic... [more]
NLP2021-113 MICT2021-88 MBE2021-74
pp.193-198
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-22
15:35
Online Online Toward developing bouncing-type model for simulating human running behavior -- Proposal of parameter identification method --
Takuto Otsubo, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2021-114 MICT2021-89 MBE2021-75
The passive running is a method to descend a slope by a running gait only using potential energy. As one of the specific... [more] NLP2021-114 MICT2021-89 MBE2021-75
pp.199-204
CAS, NLP 2021-10-15
10:25
Online Online Development of simultaneous design method for multiple truss structures using GPSA
Akihiko Asahi, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) CAS2021-31 NLP2021-29
Truss structures are used in various fields such as architecture and aerospace engineering. Previous studies have reveal... [more] CAS2021-31 NLP2021-29
pp.78-83
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, CCS 2018-06-10
12:10
Kyoto Kyoto Terrsa A study on modeling accelerator pedal with hysteresis
Kenta onuma, Yoshikazu Yamanaka (Utsunomiya Univ), Hideki Takamatsu (Toyota Motor), katsutoshi Yoshida (Utsunomiya Univ) NLP2018-45 CCS2018-18
Accelerator pedals which make it possible to reduce stress and fatigue of drivers are required. For this purpose, it is ... [more] NLP2018-45 CCS2018-18
pp.97-101
NLP, CCS 2018-06-10
15:50
Kyoto Kyoto Terrsa A study on reproducing probability density function of human balancing motions
Ryoma Omori, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2018-50 CCS2018-23
Human balancing motions, such as during quiet standing, stick balancing on the fingertip, and so on, generally exhibit r... [more] NLP2018-50 CCS2018-23
pp.125-129
NLP, CCS 2018-06-10
16:15
Kyoto Kyoto Terrsa Stability analysis of bilateral arcs bouncing model by mapping method
Keita Ishimura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2018-51 CCS2018-24
The passive running is a method to descend a slope by a running gait only using potential energy.
Active running necess... [more]
NLP2018-51 CCS2018-24
pp.131-136
NLP 2016-09-15
11:30
Hyogo Konan Univ. Tracking a solution of dynamical problems by multi chaotic searching points without re-evaluation based detection schemes for variations of object functions
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech.) NLP2016-57
For dynamic optimization problems, whose object functions are dynamically changed, tracking ability for the optimal or a... [more] NLP2016-57
pp.69-74
NLP 2016-09-15
13:00
Hyogo Konan Univ. Bifurcation of chaos and circuit implementation of a discrete-time piecewise-rotational dynamical system
Haru Hikita, Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech.) NLP2016-58
In this study, we consider a Piecewise-Rotational Chaotic system(PRC) which is a simple nonlinear dynamical system.The s... [more] NLP2016-58
pp.75-78
NC, NLP
(Joint)
2016-01-29
10:20
Fukuoka Kyushu Institute of Technology GPU Implementation of Swarm Optimization Using Symmetrical Chaotic Dynamics
Kenichiro Tanaka, Yuichi Tanji (Kagawa Univ.), Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka University of Technology) NLP2015-137
 [more] NLP2015-137
pp.63-67
NLP, CCS 2015-06-11
10:15
Tokyo Waseda Univerisity A basic consideration of parameter selection in an optimization method based on piecewise rotational chaos system
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech) NLP2015-42 CCS2015-4
It is often required to quickly obtain variables or parameters which are called optimal solutions to maximize or minimiz... [more] NLP2015-42 CCS2015-4
pp.19-24
NLP 2014-12-03
15:25
Tokyo Kyoto Univ. Tokyo Office A Consideration about the Performance and the Time Series Analysis of the Swarm Intelligence Optimizer based on Simple Dynamics
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech.) NLP2014-104
In engineering fields, it is required to quickly obtain the variables that are close to the optimal variable. One of the... [more] NLP2014-104
pp.29-34
NLP, CAS 2014-10-17
09:00
Ehime Ehime University A Consideration about the Basic Performance and Dynamical Characteristics of a Simple Dynamical Swarm Intelligence Optimization Method
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. Tech.) CAS2014-69 NLP2014-63
In these days, heuristic optimization methods have been widely studied. The advantages of the methods are less dependent... [more] CAS2014-69 NLP2014-63
pp.91-94
NLP 2013-10-28
15:45
Kagawa Sanport Hall Takamatsu A Study on Optimizer using Swarm of Chaotic Dynamical Particles
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. of Tech) NLP2013-84
We propose Optimizer using Swarm of Chaotic Dynamical Particles. One of well-known heuristic optimization method is Part... [more] NLP2013-84
pp.79-84
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 2012-07-06
09:45
Kagoshima Kagoshima Sangyou Hall A Basic Study on Particle Swarm Optimization Based on Chaotic Spiking Oscillator Dynamics
Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2012-48
In this study, we propose the particle swarm optimization based on chaotic spiking oscillator dynamics(CSOPSO). Our met... [more] NLP2012-48
pp.59-64
 Results 1 - 19 of 19  /   
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