Notice of Violation of IEEE Publication Principles: Pareto optimal reconfiguration of power distribution systems with load uncertainty and recloser placement simultaneously using a genetic algorithm based on NSGA-II

Sina Khajeh Ahmad Attari, Mahmoud Reza Shakarami, Ebrahim Sharifi Pour

Open source

DOI
10.1109/epdc.2016.7514781
Published
2016-04
Container
2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC)
Publisher
IEEE
Open access
unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.1109/epdc.2016.7514781,
  title = {Notice of Violation of IEEE Publication Principles: Pareto optimal reconfiguration of power distribution systems with load uncertainty and recloser placement simultaneously using a genetic algorithm based on NSGA-II},
  author = {Sina Khajeh Ahmad Attari and Mahmoud Reza Shakarami and Ebrahim Sharifi Pour},
  year = {2016},
  journal = {2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC)},
  doi = {10.1109/epdc.2016.7514781},
  url = {https://doi.org/10.1109/epdc.2016.7514781}
}

RIS

TY  - JOUR
TI  - Notice of Violation of IEEE Publication Principles: Pareto optimal reconfiguration of power distribution systems with load uncertainty and recloser placement simultaneously using a genetic algorithm based on NSGA-II
AU  - Sina Khajeh Ahmad Attari
AU  - Mahmoud Reza Shakarami
AU  - Ebrahim Sharifi Pour
PY  - 2016
JO  - 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC)
DO  - 10.1109/epdc.2016.7514781
UR  - https://doi.org/10.1109/epdc.2016.7514781
ER  - 

APA

Attari, S. K. A., Shakarami, M. R., & Pour, E. S. (2016). Notice of Violation of IEEE Publication Principles: Pareto optimal reconfiguration of power distribution systems with load uncertainty and recloser placement simultaneously using a genetic algorithm based on NSGA-II. 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC). https://doi.org/10.1109/epdc.2016.7514781

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