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 |