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Yoshikazu Fukuyama
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2020 – today
- 2024
- [c60]Takumi Abe, Yoshikazu Fukuyama:
Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster. CEC 2024: 1-8 - [c59]Shuhei Kawaguchi, Yoshikazu Fukuyama:
Improved Adaptive Integer form of Population-Based Incremental Learning and Reactive Tabu Search for an Integrated Energy Supply and Demand Optimization Framework in Factories. ICAIIC 2024: 87-92 - 2023
- [c58]Yuto Kobayashi, Yoshikazu Fukuyama, Kojiro Seki, Akihiro Oi, Hotaka Yoshida, Toru Jintsugawa, Hisashi Fujimoto:
Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning. CEC 2023: 1-6 - [c57]Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Adamo Santana, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion. SSCI 2023: 533-538 - [c56]Ryusei Katagiri, Yoshikazu Fukuyama, Shuhei Kawaguchi, Kenjiro Takahashi, Takaomi Sato:
Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator. SSCI 2023: 565-572 - 2022
- [c55]Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato:
Optimal Production Scheduling using a Production Simulator and Multi-population Global-best Modified Brain Storm Optimization. CEC 2022: 1-8 - [c54]Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka:
Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion. SSCI 2022: 231-237 - [c53]Yuto Kobayashi, Yoshikazu Fukuyama:
Parallel Reactive Tabu Search for Aircraft Maintenance Routing. SSCI 2022: 1567-1573 - 2021
- [c52]Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato:
Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. CEC 2021: 256-263 - [c51]Sara Onoda, Yoshikazu Fukuyama:
Improved Reactive Tabu Search for Optimal VehicleRouting Considering Allocation of Secondary Depots in Case of Natural Disasters. SA 2021: 1-6 - [c50]Yuto Kobayashi, Yoshikazu Fukuyama:
Fleet Assignment Using Population-Based Incremental Learning. SICE 2021: 868-873 - [c49]Yuki Hara, Yoshikazu Fukuyama, Kiyo Arai, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion. SmartIoT 2021: 136-143 - 2020
- [c48]Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto:
Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution strategies for Distribution System State Estimation using Just-in-time Modeling and Correntropy in Power Systems. CEC 2020: 1-8 - [c47]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy. CEC 2020: 1-8 - [c46]Miao Zheng, Yoshikazu Fukuyama, Mohammed El-Abd
, Tatsuya Iizaka, Tetsuro Matsui:
Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution. CEC 2020: 1-7 - [c45]Kenjiro Takahashi, Yoshikazu Fukuyama:
Swarm Reinforcement Learning using DEEPSO-Q with Advantage for Operational Planning of Energy Plants. ICAIIC 2020: 398-403 - [c44]Kaichi Matsumoto, Yoshikazu Fukuyama:
Voltage and Reactive Power Control by Parallel Modified Brain Storm Optimization. ICAIIC 2020: 553-558 - [c43]Naoki Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting. SICE 2020: 581-586 - [c42]Sara Onoda, Yoshikazu Fukuyama:
Reactive Tabu Search for Optimal Vehicle Routing Method of Trucks Considering Allocation of Secondary Depots in Case of Natural Disaster. SICE 2020: 858-863 - [c41]Yuki Hara, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Fault Detection of Hydroelectric Generators using Isolation Forest. SICE 2020: 864-869 - [c40]Takahiro Yamasaki, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants. SICE 2020: 870-875 - [c39]Kaichi Matsumoto, Yoshikazu Fukuyama:
Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population. SSCI 2020: 983-988
2010 – 2019
- 2019
- [j2]Mayuko Sato
Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration. Algorithms 12(1): 15 (2019) - [j1]Mayuko Sato, Yoshikazu Fukuyama
Correction: Sato, M., et al. Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration, Algorithms 2019, 12, 15. Algorithms 12(6): 125 (2019) - [c38]Mayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. CEC 2019: 681-688 - [c37]Shuhei Kawaguchi, Yoshikazu Fukuyama:
Parallel Hybrid Particle Swarm Optimization for Integration Framework of Optimal Operational Planning Problem of an Energy Plant and Production Scheduling Problem. ICAIIC 2019: 1-6 - [c36]Mayuko Sato, Yoshikazu Fukuyama:
Swarm Reinforcement Learning for Operational Planning of Energy Plants for Small and Mid-Sized Building Energy Management Systems. ICAIIC 2019: 343-348 - [c35]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization. SSCI 2019: 808-814 - [c34]Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning. SSCI 2019: 2664-2670 - [c33]Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto:
Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution strategies for State Estimation in Distribution Systems using Just in Time Modeling and Correntropy. SSCI 2019: 2714-2720 - [c32]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization. ICSI (1) 2019: 286-296 - 2018
- [c31]Mayuko Sato, Yoshikazu Fukuyama:
Total optimization of smart city by global-best brain storm optimization. GECCO (Companion) 2018: 304-305 - [c30]Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization. IJCCI 2018: 101-109 - [c29]Tatsuya Iizaka, Yoshikazu Fukuyama, Kiyo Arai, Tetsuro Matsui:
Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants. SMC 2018: 935-940 - [c28]Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants. TENCON 2018: 871-876 - [c27]Daichi Azuma, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matusi:
Modified Brain Storm Optimization for Load Adjustment Distribution State Estimation Using Correntropy. TENCON 2018: 999-1004 - [c26]Shuhei Kawaguchi, Yoshikazu Fukuyama:
Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management. TENCON 2018: 2181-2186 - 2017
- [c25]Shuhei Kawaguchi, Yoshikazu Fukuyama:
Reactive tabu search for job-shop scheduling problems considering energy management. IWCIA 2017: 9-14 - [c24]Daiji Sakurai, Yoshikazu Fukuyama, Adamo Santana, Yu Kawamura, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Estimation of missing data of showcase using artificial neural networks. IWCIA 2017: 15-18 - [c23]Hotaka Yoshida, Yoshikazu Fukuyama:
Dependable parallel multi-population different evolutionary particle swarm optimization for voltage and reactive power control in electric power systems. IWCIA 2017: 19-24 - [c22]Tatsuya Kokubo, Yoshikazu Fukuyama:
Generation methods of neighborhood schedules for practical train crew scheduling problems using tabu search. IWCIA 2017: 39-44 - [c21]Sohei Iwata, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matsui:
Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems. SSCI 2017: 1-7 - [c20]Shuhei Kawaguchi, Tatsuya Kokubo, Yoshikazu Fukuyama:
Parallel reactive tabu search for job-shop scheduling problems considering energy management. SSCI 2017: 1-8 - [c19]Tatsuya Kokubo, Shuhei Kawaguchi, Yoshikazu Fukuyama:
Practical train crew scheduling using improved tabu search. SSCI 2017: 1-7 - [c18]Norihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui:
Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants. SSCI 2017: 1-7 - [c17]Mayuko Sato, Yoshikazu Fukuyama:
Total optimization of a smart community by multi-population differential evolutionary particle swarm optimization. SSCI 2017: 1-8 - [c16]Norihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui:
Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization. ICSI (2) 2017: 233-241 - [c15]Mayuko Sato, Yoshikazu Fukuyama:
Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm. ICSI (2) 2017: 295-303 - 2016
- [c14]Shuhei Kawaguchi, Yoshikazu Fukuyama:
Reactive Tabu Search for job-shop scheduling problems. ICCSE 2016: 97-102 - 2015
- [c13]Yoshikazu Fukuyama:
Parallel particle swarm optimization for reactive power and voltage control verifying dependability. CEC 2015: 304-310 - 2010
- [c12]Ryohei Suzuki, Fukiko Kawai, Shinji Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama:
Optimal Operational Planning and Control of Energy Plants by e Constrained Particle Swarm Optimization. CCA 2010: 2077-2081 - [c11]Ryohei Suzuki, Fukiko Kawai, Shinji Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama:
The epsilon constrained differential evolution approach for optimal operational planning of energy plants. IEEE Congress on Evolutionary Computation 2010: 1-6
2000 – 2009
- 2009
- [c10]Daichi Kominami, Masashi Sugano
Performance evaluation of intermittent receiver-driven data transmission on wireless sensor networks. ISWCS 2009: 141-145 - [p1]Yoshikazu Fukuyama, Hideyuki Nishida, Yuji Todaka:
Particle Swarm Optimization for Optimal Operational Planning of Energy Plants. Innovations in Swarm Intelligence 2009: 159-173 - 2007
- [c9]Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi:
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter? ISIC 2007: 646-651 - [c8]Shiro Masuda, Akira Fujimori, Hideyuki Nishida, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama:
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r. ALCOSP 2007: 75-80 - [c7]Ryohei Suzuki, Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Yoshikazu Fukuyama, Eitaro Aiyoshi:
Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization. SIS 2007: 221-226 - 2006
- [c6]Masayuki Kobayashi, Tetsuya Yukawa, Yasuhito Kuze, Tetsuro Matsui, Tatsuya Iizaka, Yoshikazu Fukuyama:
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions. IJCNN 2006: 3754-3759 - 2005
- [c5]Chikashi Nakazawa, Shinji Kitagawa, Yoshikazu Fukuyama, Hsiao-Dong Chiang:
A method for searching multiple local optimal solutions of nonlinear optimization problems. ISCAS (5) 2005: 4907-4910 - [c4]Shinji Kitagawa, Yoshikazu Fukuyama:
Comparison of particle swarm optimizations for optimal operational planning of energy plants. SIS 2005: 155-161 - 2003
- [c3]Tatsuya Tsukada, Toyokazu Tamura, Shinji Kitagawa, Yoshikazu Fukuyama:
Optimal operational planning for cogeneration system using particle swarm optimization. SIS 2003: 138-143 - 2001
- [c2]Yoshikazu Fukuyama, Hirotaka Yoshida:
A particle swarm optimization for reactive power and voltage control in electric power systems. CEC 2001: 87-93
1990 – 1999
- 1999
- [c1]Yoshikazu Fukuyama, Shinichi Takayama, Yosuke Nakanishi, Hirotaka Yoshida:
A Particle Swarm Optimization for Reactive Power and Voltage Control in Electric Power Systems. GECCO 1999: 1523-1528
Coauthor Index
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last updated on 2024-08-21 21:30 CEST by the dblp team
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