### Abstract

This work discusses the solution of a Large-scale global optimization problem named Security Constrained Optimal Power Flow (SCOPF) using a method based on Cross Entropy (CE) and Evolutionary Particle Swarm Optimization (EPSO). The obtained solution is compared to the Entropy Enhanced Covariance Matrix Adaptation Evolution Strategy (EE-CMAES) and Shrinking Net Algorithm (SNA). Experiments show the approach reaches competitive results.

Original language | English |
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Title of host publication | GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion |

Publisher | ACM |

Pages | 69-70 |

Number of pages | 2 |

ISBN (Electronic) | 9781450367486 |

ISBN (Print) | 978-1-4503-6748-6 |

DOIs | |

Publication status | Published - 13 Jul 2019 |

Event | 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic Duration: 13 Jul 2019 → 17 Jul 2019 |

### Publication series

Name | GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion |
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### Conference

Conference | 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 |
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Country | Czech Republic |

City | Prague |

Period | 13/07/19 → 17/07/19 |

### Keywords

- CE+EPSO
- LSGO
- SCOPF

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## Cite this

Marcelino, C. G., Pedreira, C., Wanner, E. F., Carvalho, L. M., Miranda, V., & Da Silva, A. L. (2019). Ce+Epso: A merged approach to solve SCOPF problem. In

*GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion*(pp. 69-70). (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion). ACM. https://doi.org/10.1145/3319619.3326768