Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
KBSE |
2020-01-25 14:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Design and Implementation of Multi-Robot Control System Using Extended PSO Based on Multiple Software Agents Tomoya Minowa, Kazuki Kanari, Tetsuro Takahashi, Masafumi Goto, Toshihiko Seino, Yasushi Kambayashi (NIT) KBSE2019-43 |
It is difficult for people to search the site where the building collapsed and rubble was scattered.
In that case, a ro... [more] |
KBSE2019-43 pp.31-36 |
NLP |
2019-09-23 13:20 |
Kochi |
Eikokuji Campus, University of Kochi |
Artificial Bee Colony Algorithm Following Time-Varying Solutions Ken Kamiyotsumoto, Yoko Uwate (Tokushima Univ.), Thomas Ott (ZHAW), Yoshifumi Nishio (Tokushima Univ.) NLP2019-42 |
Recently , nature-inspired metaheuristic optimization algorithms such as Artificial Bee Colony Algorithm (ABC) is develo... [more] |
NLP2019-42 pp.37-40 |
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 10:40 |
Osaka |
I-Site Nanba(Osaka) |
[Poster Presentation]
Mobility Control with Swarm Intelligence Searching for Sensing Targets Kengo Ieshima, Eiji Nii, Hiroyuki Yomo, Yasuhisa Takizawa (Kansai Univ.) RCC2019-32 NS2019-68 RCS2019-125 SR2019-44 SeMI2019-41 |
In mobile sensing where autonomous mobile robots equipped with sensors perform sensing operations over a sensing field, ... [more] |
RCC2019-32 NS2019-68 RCS2019-125 SR2019-44 SeMI2019-41 pp.107-112(RCC), pp.133-138(NS), pp.129-134(RCS), pp.139-144(SR), pp.121-126(SeMI) |
WPT, EE (Joint) |
2018-10-03 14:40 |
Kyoto |
Kyoto Univ. Uji Campus |
[Special Talk]
Power Supply Development using Computational Technologies Yasumichi Omoto, Yoshihiro Ikushima (OMRON Automotive Electronics) EE2018-21 |
The high-mix development of onboard power supplies is requested for the increasing of xEV in recent years. On the other ... [more] |
EE2018-21 pp.17-22 |
NLP |
2018-08-08 15:50 |
Kagawa |
Saiwai-cho Campus, Kagawa Univ. |
Ant Colony Optimization for High Accuracy of Solutions Ken Kamiyotsumoto (Tokushima Univ.), Thomas Ott (ZHAW), Yoko Uwate, Yoshifumi Nshio (Tokushima Univ.) NLP2018-60 |
Recently, nature-inspired metaheuristic optimization algorithms such as Ant Colony Optimization
(ACO) is developed. ACO... [more] |
NLP2018-60 pp.39-42 |
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 16:10 |
Kumamoto |
Kumaoto Univ. |
An ABC Algorithm with Improvement of Tracking Performance to Solutions in Dynamic Optimization Problems Masato Omika, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-26 |
We propose an ABC algorithm to dynamic optimization problems in this article. The proposed method makes the following tw... [more] |
NLP2018-26 pp.127-131 |
MBE, NC, NLP (Joint) |
2018-01-27 10:20 |
Fukuoka |
Kyushu Institute of Technology |
Nonlinear map model optimization method Kenya Jin'no (NIT) NLP2017-95 |
In this article, we propose a nonlinear map-model optimization (abbr. NMO) method. The NMO consists of some particle who... [more] |
NLP2017-95 pp.51-54 |
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 |
2017-03-14 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 |
CCS |
2017-03-10 11:30 |
Tokyo |
ELSI, TITECH |
[Invited Talk]
Nanooptics- and fluidics-based physical implementation of natural intelligence Toshiharu Saiki (Keio Univ.) CCS2016-48 |
We attempt to implement natural intelligence into nanoparticle systems that involves optical coherence, fluidic interact... [more] |
CCS2016-48 pp.19-24 |
NS, IN (Joint) |
2017-03-03 13:00 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL |
Autonomous distributed control methods for wireless sensor networks based on nonlinear dynamics of frog choruses Ikkyu Aihara (Tsukuba Univ.), Daichi Kominami, Yasuharu Hirano, Masayuki Murata (Osaka Univ.) IN2016-155 |
There are about 6500 species of frogs around the world. Most of the frog species are nocturnal in their habitat. In gene... [more] |
IN2016-155 pp.347-352 |
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 |
ISEC, LOIS, SITE |
2016-11-07 13:00 |
Fukui |
Community Hall & AOSSA Mall, Fukui |
"Duration of Riken-no-ken (view from a distance)", about the system and ethics Tetsuya Morizumi (KU) ISEC2016-50 SITE2016-40 LOIS2016-28 |
In this paper, I will interpret "Riken-no-ken (view from a distance)" in the following manner; "I intuitively see that "... [more] |
ISEC2016-50 SITE2016-40 LOIS2016-28 pp.1-4 |
SITE |
2016-10-03 14:55 |
Tokyo |
Nihon University, Surugadai-Campus |
What is the necessary condition for the existence of others in " Riken-no-ken (view from a distance)"
-- The structure of " Riken-no-ken " -- Tetsuya Morizumi (KU) SITE2016-37 |
A concept device incorporating the otherness to the language game of behavior is a " Riken-no-ken (view from a distance)... [more] |
SITE2016-37 pp.27-30 |
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 |
2016-05-26 15:15 |
Kochi |
Kochi Univ. |
Firefly Algorithm Changing Parameters of Females Masaki Takeuchi (Tokushima Univ.), Haruna Matsushita (Kagawa Univ.), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2016-6 |
We have proposed Firefly Algorithm Distinguishing between Males and Females. It is important to have a diversity in vari... [more] |
NLP2016-6 pp.29-32 |
NS |
2016-04-22 10:35 |
Wakayama |
wakayama university |
Opportunistic Routing Using Swarm Intelligence for Ad Hoc Networks Shinnosuke Iwagami (Shibaura Inst. Tech.), Taku Yamazaki (Waseda Univ.), Takumi Miyoshi (Shibaura Inst. Tech.) NS2016-7 |
Recently, ad hoc networks which are composed of only wireless mobile terminals (nodes) have attracted research attention... [more] |
NS2016-7 pp.31-34 |
NLP |
2015-11-01 12:05 |
Okinawa |
Nobumoto Ohama Memorial Hall |
Analysis of Deterministic Swarm Intelligence Optimization Kenya Jin'no (NIT) NLP2015-121 |
To solve optimization problems promptly, various optimal solution search methods called meta-heuristics are proposed. Su... [more] |
NLP2015-121 pp.81-85 |