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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MIKA
(3rd)
2022-10-14
10:40
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] Performance Evaluation of Artificial Bee Colony Algorithm for Flower Search Using Drones
Daigo Hasegawa, Takuya Shindo, Hiroyuki Shimizu, Takefumi Hiraguri, Nobuhiko Itoh (NIT)
Pollination of mini-tomatoes is carried out by bumblebees released in the greenhouse.
Bee activity declines during the ... [more]

CS 2022-07-14
13:40
Kagoshima Yakushima Environmental and Cultural Village Center
(Primary: On-site, Secondary: Online)
A Study of Drone Control Method for Pollination by Artificial Bee Colony Algorithm
Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) CS2022-23
Pollination of mini-tomatoes is carried out by bumblebees released in greenhouses. However, during the summer, bees are ... [more] CS2022-23
pp.44-45
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
AP 2019-05-17
13:50
Hyogo Kanpo-no-yado Arima (Arima Onsen, Hyogo) Sparse Element Array Optimization Using Artificial Bee Colony Method in Stepped Multiple Frequency Radar MIMO Doppler Imaging
Takumi Taniguchi, Takayuki Inaba (UEC) AP2019-12
Authors have proposed MIMO Doppler imaging method for forward imaging by Stepped Multiple Frequency Radar assuming the a... [more] AP2019-12
pp.65-70
WBS, SAT
(Joint)
2019-05-16
09:00
Aichi MEIJO University (Tempaku campus) Sparse Frequency Diversity Design using ABC in Multiple Frequency Stepped Pulse Radar
Takayuki Inaba, Takumi Taniguchi, Manabu Akita (UEC) WBS2019-6
Authors have proposed stepped multiple frequency radar modulation. It could achieve both a high range resolution and a l... [more] WBS2019-6
pp.29-34
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
NLP 2016-07-22
10:00
Hokkaido Hokkaido Univ. Centennial Hall An Artificial Bee Colony Algorithm Suited for Parallel Distributed Processing
Yu Isono, Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2016-40
As approximate solutions in large-scale problems are obtained by evolutionary computation algorithms, many search indivi... [more] NLP2016-40
pp.33-38
NLP 2015-05-18
15:55
Aomori Yu-sa Asamushi Basic performance of the fission artificial bee colony algorithm
Hideto Sakamoto, Toshimichi Saito (HU) NLP2015-32
This paper presents an improved version of artificial bee colony algorithm and
investigates its basic performance.
Th... [more]
NLP2015-32
pp.29-34
NLP 2015-01-26
10:25
Oita Compal Hall A flooding sheme considering battery level in wireless sensor networks using chaotic neural networks
Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-114
In this paper, efficient ooding schemes in wireless sensor networks are considered.
Based on our previous scheme using... [more]
NLP2014-114
pp.7-12
NLP 2014-12-04
11:20
Tokyo Kyoto Univ. Tokyo Office An artificial bee colony optimization algorithm for solving maximum power point tracking problems
Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-110
In the photovoltaic power generation systems,
it is required that an operating point to maximize the output power valu... [more]
NLP2014-110
pp.63-68
NLP 2014-11-06
13:30
Niigata TsubameSanjo Regional Industries Promotion Center Analysis of characteristics for a scale parameter in artificial bee colony algorithms
Takanari Yamaguchi, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-81
In the artificial bee colony algorithm, plural search points are selected and optimum solutions are found by repeating t... [more] NLP2014-81
pp.1-6
NLP 2014-07-21
15:20
Hokkaido Hakodate City Central Library An artificial bee colony algorithm introducing relative evaluation and multi-dimensional update
Shin Suzuki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-36
An artificial Bee Colony (ABC) algorithm is an effective method for solving high-dimensional optimization problems. Howe... [more] NLP2014-36
pp.27-32
NLP 2014-07-01
11:00
Miyagi Tohoku Univ. Solving dynamic optimization problems using an artificial bee colony with a memory scheme
Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-29
Dynamic Optimization Problems (DOPs) are the problems of optimizing the function values of the time varying objective fu... [more] NLP2014-29
pp.47-52
NLP 2013-05-28
09:50
Fukuoka Event hall, Central Library, Fukuoka University An Improved Artificial Bee Colony Optimizer for Dynamic Optimization Problems
Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-20
Artificial Bee Colony (ABC) is a fast and robust algorithm to solve various optimization problems with complex nonlinear... [more] NLP2013-20
pp.59-64
NLP 2013-05-28
10:15
Fukuoka Event hall, Central Library, Fukuoka University An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization
Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-21
In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor netwo... [more] NLP2013-21
pp.65-70
 Results 1 - 15 of 15  /   
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