• Engineering
  • Published 2017

Non-dominated sorting gravitational search algorithm for multi-objective optimization of power transformer design

@inproceedings{Zellagui2017NondominatedSG,
  title={Non-dominated sorting gravitational search algorithm for multi-objective optimization of power transformer design},
  author={M. Zellagui and Heba A. Hassan and Almoataz Y. Abdelaziz},
  year={2017}
}
Transformers are crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower mass and losses. Multi-objective Optimization Problems (MOPs) consist of several competing and incommensurable objective functions. Recently, as a search optimization technique inspired by nature, evolutionary algorithms have been broadly applied… CONTINUE READING

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