Yoshikazu Fukuyama

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 50

Top Topics

Swarm Optimization

Fault Detection

Top Venues

Publications

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)
Takumi Abe, Yoshikazu Fukuyama
Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster. CEC (2024)
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)
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)
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)
Msato 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)
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)
Yuto Kobayashi, Yoshikazu Fukuyama
Parallel Reactive Tabu Search for Aircraft Maintenance Routing. SSCI (2022)
Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato
Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. CEC (2021)
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)
Sara Onoda, Yoshikazu Fukuyama
Improved Reactive Tabu Search for Optimal VehicleRouting Considering Allocation of Secondary Depots in Case of Natural Disasters. SA (2021)
Yuto Kobayashi, Yoshikazu Fukuyama
Fleet Assignment Using Population-Based Incremental Learning. SICE (2021)
Yuki Hara, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui
Fault Detection of Hydroelectric Generators using Isolation Forest. SICE (2020)
Kaichi Matsumoto, Yoshikazu Fukuyama
Voltage and Reactive Power Control by Parallel Modified Brain Storm Optimization. ICAIIC (2020)
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)
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)
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)
Naoki Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting. SICE (2020)
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)
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)
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)
Kenjiro Takahashi, Yoshikazu Fukuyama
Swarm Reinforcement Learning using DEEPSO-Q with Advantage for Operational Planning of Energy Plants. ICAIIC (2020)
Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration. Algorithms 12 (1) (2019)
Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
, 15. Algorithms 12 (6) (2019)
Mayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. CEC (2019)
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)
Mayuko Sato, Yoshikazu Fukuyama
Swarm Reinforcement Learning for Operational Planning of Energy Plants for Small and Mid-Sized Building Energy Management Systems. ICAIIC (2019)
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)
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)
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)
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)
Tatsuya Iizaka, Yoshikazu Fukuyama, Kiyo Arai, Tetsuro Matsui
Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants. SMC (2018)
Shuhei Kawaguchi, Yoshikazu Fukuyama
Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management. TENCON (2018)
Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization. IJCCI (2018)
Mayuko Sato, Yoshikazu Fukuyama
Total optimization of smart city by global-best brain storm optimization. GECCO (Companion) (2018)
Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants. TENCON (2018)
Daichi Azuma, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matusi
Modified Brain Storm Optimization for Load Adjustment Distribution State Estimation Using Correntropy. TENCON (2018)
Tatsuya Kokubo, Yoshikazu Fukuyama
Generation methods of neighborhood schedules for practical train crew scheduling problems using tabu search. IWCIA (2017)
Shuhei Kawaguchi, Tatsuya Kokubo, Yoshikazu Fukuyama
Parallel reactive tabu search for job-shop scheduling problems considering energy management. SSCI (2017)
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)
Mayuko Sato, Yoshikazu Fukuyama
Total optimization of a smart community by multi-population differential evolutionary particle swarm optimization. SSCI (2017)
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)
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)
Shuhei Kawaguchi, Yoshikazu Fukuyama
Reactive tabu search for job-shop scheduling problems considering energy management. IWCIA (2017)
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)
Mayuko Sato, Yoshikazu Fukuyama
Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm. ICSI (2) (2017)
Tatsuya Kokubo, Shuhei Kawaguchi, Yoshikazu Fukuyama
Practical train crew scheduling using improved tabu search. SSCI (2017)
Norihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui
Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization. ICSI (2) (2017)
Shuhei Kawaguchi, Yoshikazu Fukuyama
Reactive Tabu Search for job-shop scheduling problems. ICCSE (2016)
Yoshikazu Fukuyama
Parallel particle swarm optimization for reactive power and voltage control verifying dependability. CEC (2015)
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)
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)
Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi, Yoshikazu Fukuyama
Performance evaluation of intermittent receiver-driven data transmission on wireless sensor networks. ISWCS (2009)
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)
Ryohei Suzuki, Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Yoshikazu Fukuyama, Eitaro Aiyoshi
Automatic Tuning of Model Predictive Control Using Particle Swarm Optimization. SIS (2007)
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)
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)
Shinji Kitagawa, Yoshikazu Fukuyama
Comparison of particle swarm optimizations for optimal operational planning of energy plants. SIS (2005)
Chikashi Nakazawa, Shinji Kitagawa, Yoshikazu Fukuyama, Hsiao-Dong Chiang
A method for searching multiple local optimal solutions of nonlinear optimization problems. ISCAS (5) (2005)
Tatsuya Tsukada, Toyokazu Tamura, Shinji Kitagawa, Yoshikazu Fukuyama
Optimal operational planning for cogeneration system using particle swarm optimization. SIS (2003)
Yoshikazu Fukuyama, Hirotaka Yoshida
A particle swarm optimization for reactive power and voltage control in electric power systems. CEC (2001)
Yoshikazu Fukuyama, Shinichi Takayama, Yosuke Nakanishi, Hirotaka Yoshida
A Particle Swarm Optimization for Reactive Power and Voltage Control in Electric Power Systems. GECCO (1999)