IEEJ Trans. PE
 2020
DOI: 10.1541/ieejpes.140.68
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Dependable Parallel Multi-population Modified Brain Storm Optimization for Distribution State Estimation considering Outliers using Just-In-Time Modeling and Correntropy

Daichi Azuma
1
,
Yoshikazu Fukuyama
2
,
Akihiro Oi
3
et al.
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Cited by 6 publications
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References 4 publications
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Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy

Otaka
1
,
Fukuyama
2
,
Kawamura
3
et al. 2020
2020 IEEE Congress on Evolutionary Computation (CEC)
5
0
0
0
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Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy

Otaka
1
,
Fukuyama
2
,
Kawamura
3
et al. 2020
2020 IEEE Congress on Evolutionary Computation (CEC)
5
0
0
0
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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

Azuma
1
,
Fukuyama
2
,
Oi
3
et al. 2020
2020 IEEE Congress on Evolutionary Computation (CEC)
4
0
1
0
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Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population

Matsumoto
1
,
Fukuyama
2
2020
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
1
0
0
0
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