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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 66 [Previous]  /  [Next]  
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
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