Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2024-03-01 13:00 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
A Duplication-Free Pattern Formation Method Using Particle Swarm Optimization Kotaro Yamada, Toshiharu Sugawara (Waseda Univ.) AI2023-37 |
In this research, we apply swarm intelligence algorithms to the multi-agent pattern formation problem (MAPFP) and propos... [more] |
AI2023-37 pp.1-6 |
CCS |
2023-11-11 15:00 |
Toyama |
Toyama Prefectural University |
[Invited Talk]
Quantum-Annealing-Inspired Swarm-Intelligence-Like Simulated Annealing Algorithm Akio Yoshizawa (AIST) CCS2023-29 |
Quantum-inspired classical algorithms for combinatorial optimization have been attracting great attention recently. The ... [more] |
CCS2023-29 pp.25-30 |
CCS |
2023-11-12 10:25 |
Toyama |
Toyama Prefectural University |
Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] |
CCS2023-34 pp.53-57 |
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance Evaluation of Swarm Intelligences Using Evaluation Space Construction Method for Flower Search Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) |
Bumblebees have been introduced to pollinate tomatoes in greenhouse cultivation to save labor. However, bee ac- tivity d... [more] |
|
NS |
2023-10-04 13:50 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Proposal of Evaluation Space Construction Method for Flower Search by Drones with Swarm Intelligences Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) NS2023-73 |
Bumblebees have been introduced to pollinate tomatoes in greenhouse cultivation to save labor. However, bee activity dec... [more] |
NS2023-73 p.27 |
CQ, MIKA (Joint) (2nd) |
2023-08-30 16:20 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Performance comparison of swarm intelligences using evaluation space for flower search Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) |
Cherry tomatoes are pollinated by bumblebees released in greenhouses. However, during the summer, bees are less active a... [more] |
|
AI, JSAI-KBS, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2023-03-11 15:15 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Consideration for Extension of Creature Embodiment by Multi-Level Emergence Kyohei Kawaguchi, Daiki Shimokawa, Satoshi Kurihara (Keio Univ.) AI2022-49 |
In hierarchical structure of size scale, human body is made bottom-up such as large individuals gradually emerge from in... [more] |
AI2022-49 pp.7-12 |
RCS, NS (Joint) |
2022-12-16 10:20 |
Aichi |
Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Swarm Mobility Control Algorithm for Searching Dynamically Arriving Clustered Targets Xie Chao, Hiroyuki Yomo, Yasuhisa Takizawa (Kansai Univ.) RCS2022-200 |
In mobile sensing, which conducts sensing operations by installing a sensor on an autonomous mobile robot, the position ... [more] |
RCS2022-200 pp.81-86 |
CCS |
2022-11-18 14:30 |
Mie |
(Primary: On-site, Secondary: Online) |
Particle swarm optimization considering a positive and negative inertia terms by Levy distribution Sohei Kusaka, Hidehiro Nakano (Tokyo City Univ.) CCS2022-57 |
Particle Swarm Optimization (PSO) is known as a type of swarm intelligence algorithms. The inertia constant of each sear... [more] |
CCS2022-57 pp.71-75 |
CCS |
2022-11-18 16:00 |
Mie |
(Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] |
CCS2022-60 pp.85-90 |
CCS, NLP |
2022-06-10 15:55 |
Osaka |
(Primary: On-site, Secondary: Online) |
Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and solving performances Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2022-22 CCS2022-22 |
Optimizer based on spiking neural-oscillator networks (OSNN) are one of the deterministic swarm intelligence
algorithms... [more] |
NLP2022-22 CCS2022-22 pp.111-116 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 09:55 |
Online |
Online (Zoom) |
ACO-inspired Load Balancing for Backoff-based Opportunistic Routing Yudai Matsuo, Ryo Yamamoto, Satoshi Ohzahata (UEC), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.) CQ2021-114 |
In general routing protocols for ad hoc networks, they utilize fixed end--to--end routes that are established in advance... [more] |
CQ2021-114 pp.76-81 |
AI |
2022-02-28 13:40 |
Miyazaki |
Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-18 |
In this study, we propose a method to automatically generate formation
control that reduce battery consumption in Unman... [more] |
AI2021-18 pp.35-40 |
NLP |
2021-12-17 10:00 |
Oita |
J:COM Horuto Hall OITA |
Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] |
NLP2021-43 pp.1-6 |
NC, MBE (Joint) |
2021-03-03 16:25 |
Online |
Online |
Realization of Global Search and Local Search in Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-53 |
For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of gl... [more] |
NC2020-53 pp.59-64 |
SeMI |
2021-01-20 13:00 |
Online |
Online |
Swarm Mobility Control for Searching Targets over Unknown Environments Kengo Ieshima, Hiroyuki Yomo, Yasuhisa Takizawa (Kansai Univ.) SeMI2020-43 |
In mobile sensing, which conducts sensing operations by installing a sensor on an autonomous mobile robot, the position ... [more] |
SeMI2020-43 pp.1-6 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 16:10 |
Online |
Online |
Solving the Parity Problem by Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-24 |
In recent years, the technology of particle swarm optimization is expanding remarkably. Especially, the technical develo... [more] |
NC2020-24 pp.83-88 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2020-06-29 13:25 |
Online |
Online |
A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-3 IBISML2020-3 |
In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to... [more] |
NC2020-3 IBISML2020-3 pp.15-20 |
NC, MBE (Joint) |
2020-03-05 14:15 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
NC2019-97 |
The purpose of this study is to clarify the search performance and characteristics of differential evolution (DE) and pa... [more] |
NC2019-97 pp.125-130 |
SeMI |
2020-01-30 14:25 |
Kagawa |
|
Impact of mutual assistance of mobile robots in mobile sensing cluster exploiting swarm intelligence Kazuki Higashitani, Eiji Nii, Hiroyuki Yomo, Yasuhisa Takizawa (Kansai Univ.) SeMI2019-100 |
In mobile sensing, in which autonomous mobile robots with sensors perform sensing operations, the position and number of... [more] |
SeMI2019-100 pp.5-10 |