A Particle Swarm Optimization for Reactive Power and Voltage Control in Electric Power Systems. - Yoshikazu Fukuyama; Shinichi Takayama; Yosuke Nakanishi; Hirotaka Yoshida (GECCO, 1999)

A particle swarm optimization for reactive power and voltage control in electric power systems. - Yoshikazu Fukuyama; Hirotaka Yoshida (CEC, 2001)

Optimal operational planning for cogeneration system using particle swarm optimization. - Tatsuya Tsukada; Toyokazu Tamura; Shinji Kitagawa; Yoshikazu Fukuyama (SIS, 2003)

A method for searching multiple local optimal solutions of nonlinear optimization problems. - Chikashi Nakazawa; Shinji Kitagawa; Yoshikazu Fukuyama; Hsiao-Dong Chiang (ISCAS (5), 2005)

Comparison of particle swarm optimizations for optimal operational planning of energy plants. - Shinji Kitagawa; Yoshikazu Fukuyama (SIS, 2005)

Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions. - Masayuki Kobayashi; Tetsuya Yukawa; Yasuhito Kuze; Tetsuro Matsui; Tatsuya Iizaka; Yoshikazu Fukuyama (IJCNN, 2006)

Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter? - Fukiko Kawai; Hideyuki Ito; Chikashi Nakazawa; Tetsuro Matsui; Yoshikazu Fukuyama; Ryohei Suzuki; Eitaro Aiyoshi (ISIC, 2007)

Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r. - Shiro Masuda; Akira Fujimori; Hideyuki Nishida; Chikashi Nakazawa; Tetsuro Matsui; Yoshikazu Fukuyama (ALCOSP, 2007)

Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization. - Ryohei Suzuki; Fukiko Kawai; Hideyuki Ito; Chikashi Nakazawa; Yoshikazu Fukuyama; Eitaro Aiyoshi (SIS, 2007)

Performance evaluation of intermittent receiver-driven data transmission on wireless sensor networks. - Daichi Kominami; Masashi Sugano; Masayuki Murata 001; Takaaki Hatauchi; Yoshikazu Fukuyama (ISWCS, 2009)

Particle Swarm Optimization for Optimal Operational Planning of Energy Plants. - Yoshikazu Fukuyama; Hideyuki Nishida; Yuji Todaka (Innovations in Swarm Intelligence, 2009)

Optimal Operational Planning and Control of Energy Plants by e Constrained Particle Swarm Optimization. - Ryohei Suzuki; Fukiko Kawai; Shinji Kitagawa; Tetsuro Matsui; Kouji Matsumoto; Donghui Xiang; Yoshikazu Fukuyama (CCA, 2010)

The epsilon constrained differential evolution approach for optimal operational planning of energy plants. - Ryohei Suzuki; Fukiko Kawai; Shinji Kitagawa; Tetsuro Matsui; Kouji Matsumoto; Donghui Xiang; Yoshikazu Fukuyama (IEEE Congress on Evolutionary Computation, 2010)

Parallel particle swarm optimization for reactive power and voltage control verifying dependability. - Yoshikazu Fukuyama (CEC, 2015)

Reactive Tabu Search for job-shop scheduling problems. - Shuhei Kawaguchi; Yoshikazu Fukuyama (ICCSE, 2016)

Reactive tabu search for job-shop scheduling problems considering energy management. - Shuhei Kawaguchi; Yoshikazu Fukuyama (IWCIA, 2017)

Generation methods of neighborhood schedules for practical train crew scheduling problems using tabu search. - Tatsuya Kokubo; Yoshikazu Fukuyama (IWCIA, 2017)

Estimation of missing data of showcase using artificial neural networks. - Daiji Sakurai; Yoshikazu Fukuyama; Adamo Santana; Yu Kawamura; Kenya Murakami; Tatsuya Iizaka; Tetsuro Matsui (IWCIA, 2017)

Dependable parallel multi-population different evolutionary particle swarm optimization for voltage and reactive power control in electric power systems. - Hotaka Yoshida; Yoshikazu Fukuyama (IWCIA, 2017)

Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems. - Sohei Iwata; Yoshikazu Fukuyama; Toru Jintsugawa; Hisashi Fujimoto; Tetsuro Matsui (SSCI, 2017)

Parallel reactive tabu search for job-shop scheduling problems considering energy management. - Shuhei Kawaguchi; Tatsuya Kokubo; Yoshikazu Fukuyama (SSCI, 2017)

Practical train crew scheduling using improved tabu search. - Tatsuya Kokubo; Shuhei Kawaguchi; Yoshikazu Fukuyama (SSCI, 2017)

Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants. - Norihiro Nishimura; Yoshikazu Fukuyama; Tetsuro Matsui (SSCI, 2017)

Total optimization of a smart community by multi-population differential evolutionary particle swarm optimization. - Mayuko Sato; Yoshikazu Fukuyama (SSCI, 2017)

Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization. - Norihiro Nishimura; Yoshikazu Fukuyama; Tetsuro Matsui (ICSI (2), 2017)

Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm. - Mayuko Sato; Yoshikazu Fukuyama (ICSI (2), 2017)

Total optimization of smart city by global-best brain storm optimization. - Mayuko Sato; Yoshikazu Fukuyama (GECCO (Companion), 2018)

Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization. - Mayuko Sato; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (IJCCI, 2018)

Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants. - Tatsuya Iizaka; Yoshikazu Fukuyama; Kiyo Arai; Tetsuro Matsui (SMC, 2018)

Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants. - Kiyo Arai; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (TENCON, 2018)

Modified Brain Storm Optimization for Load Adjustment Distribution State Estimation Using Correntropy. - Daichi Azuma; Yoshikazu Fukuyama; Toru Jintsugawa; Hisashi Fujimoto; Tetsuro Matusi (TENCON, 2018)

Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management. - Shuhei Kawaguchi; Yoshikazu Fukuyama (TENCON, 2018)

Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. - Mayuko Sato; Yoshikazu Fukuyama; Mohammed El-Abd; Tatsuya Iizaka; Tetsuro Matsui (CEC, 2019)

Parallel Hybrid Particle Swarm Optimization for Integration Framework of Optimal Operational Planning Problem of an Energy Plant and Production Scheduling Problem. - Shuhei Kawaguchi; Yoshikazu Fukuyama (ICAIIC, 2019)

Swarm Reinforcement Learning for Operational Planning of Energy Plants for Small and Mid-Sized Building Energy Management Systems. - Mayuko Sato; Yoshikazu Fukuyama (ICAIIC, 2019)

Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning. - Kiyo Arai; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (SSCI, 2019)

Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution strategies for State Estimation in Distribution Systems using Just in Time Modeling and Correntropy. - Daichi Azuma; Yoshikazu Fukuyama; Akihiro Oi; Toru Jintsugawa; Hisashi Fujimoto (SSCI, 2019)

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization. - Naoya Otaka; Yoshikazu Fukuyama; Yu Kawamura; Kenya Murakami; Adamo Santana; Tatsuya Iizaka; Tetsuro Matsui (SSCI, 2019)

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization. - Naoya Otaka; Yoshikazu Fukuyama; Yu Kawamura; Kenya Murakami; Adamo Santana; Tatsuya Iizaka; Tetsuro Matsui (ICSI (1), 2019)

Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration. - Mayuko Sato; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (Algorithms, 2019)

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. - Mayuko Sato; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (Algorithms, 2019)

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. - Daichi Azuma; Yoshikazu Fukuyama; Akihiro Oi; Toru Jintsugawa; Hisashi Fujimoto (CEC, 2020)

Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy. - Naoya Otaka; Yoshikazu Fukuyama; Yu Kawamura; Kenya Murakami; Adamo Santana; Tatsuya Iizaka; Tetsuro Matsui (CEC, 2020)

Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution. - Miao Zheng; Yoshikazu Fukuyama; Mohammed El-Abd; Tatsuya Iizaka; Tetsuro Matsui (CEC, 2020)

Voltage and Reactive Power Control by Parallel Modified Brain Storm Optimization. - Kaichi Matsumoto; Yoshikazu Fukuyama (ICAIIC, 2020)

Swarm Reinforcement Learning using DEEPSO-Q with Advantage for Operational Planning of Energy Plants. - Kenjiro Takahashi; Yoshikazu Fukuyama (ICAIIC, 2020)

Fault Detection of Hydroelectric Generators using Isolation Forest. - Yuki Hara; Yoshikazu Fukuyama; Kenya Murakami; Tatsuya Iizaka; Tetsuro Matsui (SICE, 2020)

Reactive Tabu Search for Optimal Vehicle Routing Method of Trucks Considering Allocation of Secondary Depots in Case of Natural Disaster. - Sara Onoda; Yoshikazu Fukuyama (SICE, 2020)

A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting. - Naoki Sato; Yoshikazu Fukuyama; Tatsuya Iizaka; Tetsuro Matsui (SICE, 2020)

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants. - Takahiro Yamasaki; Yoshikazu Fukuyama; Kenya Murakami; Tatsuya Iizaka; Tetsuro Matsui (SICE, 2020)

Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population. - Kaichi Matsumoto; Yoshikazu Fukuyama (SSCI, 2020)

Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. - Kenjiro Takahashi; Yoshikazu Fukuyama; Shuhei Kawaguchi; Takaomi Sato (CEC, 2021)

Improved Reactive Tabu Search for Optimal VehicleRouting Considering Allocation of Secondary Depots in Case of Natural Disasters. - Sara Onoda; Yoshikazu Fukuyama (SA, 2021)

Fleet Assignment Using Population-Based Incremental Learning. - Yuto Kobayashi; Yoshikazu Fukuyama (SICE, 2021)

Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion. - Yuki Hara; Yoshikazu Fukuyama; Kiyo Arai; Yuichi Shimasaki; Yuto Osada; Kenya Murakami; Tatsuya Iizaka; Tetsuro Matsui (SmartIoT, 2021)

Optimal Production Scheduling using a Production Simulator and Multi-population Global-best Modified Brain Storm Optimization. - Kenjiro Takahashi; Yoshikazu Fukuyama; Shuhei Kawaguchi; Takaomi Sato (CEC, 2022)

Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion. - Masato Igarashi; Yoshikazu Fukuyama; Yuichi Shimasaki; Yuto Osada; Kenya Murakami; Tatsuya Iizaka (SSCI, 2022)

Parallel Reactive Tabu Search for Aircraft Maintenance Routing. - Yuto Kobayashi; Yoshikazu Fukuyama (SSCI, 2022)

Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning. - Yuto Kobayashi; Yoshikazu Fukuyama; Kojiro Seki; Akihiro Oi; Hotaka Yoshida; Toru Jintsugawa; Hisashi Fujimoto (CEC, 2023)

Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion. - Masato Igarashi; Yoshikazu Fukuyama; Yuichi Shimasaki; Yuto Osada; Kenya Murakami; Tatsuya Iizaka; Adamo Santana; Tetsuro Matsui (SSCI, 2023)

Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator. - Ryusei Katagiri; Yoshikazu Fukuyama; Shuhei Kawaguchi; Kenjiro Takahashi; Takaomi Sato (SSCI, 2023)

Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster. - Takumi Abe; Yoshikazu Fukuyama (CEC, 2024)

Improved Adaptive Integer form of Population-Based Incremental Learning and Reactive Tabu Search for an Integrated Energy Supply and Demand Optimization Framework in Factories. - Shuhei Kawaguchi; Yoshikazu Fukuyama (ICAIIC, 2024)