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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2019-09-23 12:30 |
Kochi | Eikokuji Campus, University of Kochi | Optimization of Neural Network by Using Swarm Intelligence Takumi Nakamura, Gennki Yoshida, Chihiro Ikuta (NIT, Suzuka College)  NLP2019-40 |
In this study, we investigate about a learning of multi-layer perceptron (MLP) by using firefly algorithm. The firefly a... [more] | NLP2019-40 pp.27-30 |
| RCS | 2018-06-22 09:30 |
Nagasaki | Nagasaki University | Combination of Beamforming with Per-Antenna Power Constraint and Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for Multiuser Massive MIMO-OFDM Transmission Mikihito Suzuki (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2018-63 |
In this paper, we investigate a combination of the beamforming (BF) with per-antenna power limitation and adaptive peak-... [more] | RCS2018-63 pp.167-172 |
| AP, RCS (Joint) |
2017-11-09 09:00 |
Fukuoka | Fukuoka University | Frequency Block-Dependent Transmitter Beamforming Control Based on Firefly Algorithm for Massive MIMO Systems with Per-Antenna Power Constraint Takashi Yamanaka, Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-224 |
In the massive multiple-input multiple-output (MIMO) downlink, transmitter beamforming (BF) to achieve a beamforming (po... [more] | RCS2017-224 pp.111-116 |
| RCS | 2017-06-23 11:10 |
Okinawa | Ishigaki Shoukou Kaikan | Investigations on Transmitter Beamforming Control Based on Firefly Algorithm in Massive MIMO Systems with Per-Antenna Power Constraint for System Throughput Maximization Kento Kawai, Takashi Yamanaka (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-86 |
In this paper, we investigate the transmitter beamforming (BF) control based on the firefly algorithm (FA) in massive mu... [more] | RCS2017-86 pp.215-220 |
| AP (2nd) |
2017-01-26 - 2017-01-27 |
Overseas | Malaysia-Japan International Institute of Technology (MJIIT) | A Comparative study among the Particle-Swarm Optimization, Gravitational Search Algorithm, and Firefly Algorithm Using Different Benchmark Functions MN Rahman, MT Islam, S. Kibria (UKM), M Samsuzzaman (Patuakhali Science and Technology University), MZ Mahmud (UKM) |
This paper presents a comparative study among the three optimization algorithms named the Particle-Swarm Optimization (P... [more] | |
| IT, SIP, RCS | 2017-01-19 11:15 |
Osaka | Osaka City Univ. | A Study on Transmitter Beamforming Control Based on Firefly Algorithm for Massive MIMO Systems with Per-Antenna Power Constraint Takashi Yamanaka, Kenichi Higuchi (Tokyo Univ. of Science) IT2016-49 SIP2016-87 RCS2016-239 |
In massive multiple-input multiple-output (MIMO) downlink, the transmitter beamforming (BF) to achieve the beamforming (... [more] | IT2016-49 SIP2016-87 RCS2016-239 pp.19-24 |
| RCS | 2016-06-23 09:30 |
Okinawa | Univ. of the Ryukyus | A Study on Transmitter Beamforming Control Based on Firefly Algorithm for Massive MIMO Systems Takashi Yamanaka, Kenichi Higuchi (Tokyo Univ. of Science) RCS2016-57 |
In massive multiple-input multiple-output (MIMO) downlink, the transmitter beamforming (BF) to achieve the beamforming (... [more] | RCS2016-57 pp.65-68 |
| 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 |
| RCS, IT, SIP | 2016-01-19 10:35 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | A Study on Beamforming Control Based on Firefly Algorithm Takuya Hoshino, Kenichi Higuchi (Tokyo Univ. of Science) IT2015-85 SIP2015-99 RCS2015-317 |
Beamforming (BF) is essential to achieve a throughput gain by using Massive multiple-input multiple-output (MIMO). Howev... [more] | IT2015-85 SIP2015-99 RCS2015-317 pp.203-206 |
| NLP, CCS | 2015-06-11 09:50 |
Tokyo | Waseda Univerisity | Analysis and evaluation of Firefly Algorithm Jianze Xiao, Takuya Shindo, Takuya Kurihara, Kenya Jin'no (NIT) NLP2015-41 CCS2015-3 |
Firefly algorithm is one of Metaheuristic optimization algorithms, it is inspired by the flashing and attracting behavio... [more] | NLP2015-41 CCS2015-3 pp.13-18 |
| NLP | 2013-10-28 09:30 |
Kagawa | Sanport Hall Takamatsu | Firefly Algorithm Searching Multiple Solutions Masafumi Uemura, Haruna Matsushita (Kagawa Univ.) NLP2013-69 |
This study proposes a Firefly Algorithm Searching Multiple Solutions (MSFA). We confirm that MSFA can find the multiple ... [more] | NLP2013-69 pp.1-4 |
| NLP | 2013-10-28 17:30 |
Kagawa | Sanport Hall Takamatsu | Discrete Firefly Algorithm Using Familiarity Degree and Its Application to QAP Mami Ishikawa, Haruna Matsushita (Kagawa Univ.) NLP2013-89 |
This study modifies Discrete Firefly Algorithm (DFA) and proposes a DFA using Familiarity Degree (FDFA). We apply FDFA ... [more] |
NLP2013-89 pp.105-108 |
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