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. 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. In IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020. pages 1-8, IEEE, 2020. [doi]

@inproceedings{AzumaFOJF20,
  title = {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},
  author = {Daichi Azuma and Yoshikazu Fukuyama and Akihiro Oi and Toru Jintsugawa and Hisashi Fujimoto},
  year = {2020},
  doi = {10.1109/CEC48606.2020.9185836},
  url = {https://doi.org/10.1109/CEC48606.2020.9185836},
  researchr = {https://researchr.org/publication/AzumaFOJF20},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6929-3},
}