### 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 |

### Fingerprint

### Keywords

- CE+EPSO
- LSGO
- SCOPF

### Cite this

*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

}

*GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion.*GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, ACM, pp. 69-70, 2019 Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3319619.3326768

**Ce+Epso : A merged approach to solve SCOPF problem.** / Marcelino, Carolina G.; Pedreira, Carlos; Wanner, Elizabeth F.; Carvalho, Leonel M.; Miranda, Vladimiro; Da Silva, Armando L.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Ce+Epso

T2 - A merged approach to solve SCOPF problem

AU - Marcelino, Carolina G.

AU - Pedreira, Carlos

AU - Wanner, Elizabeth F.

AU - Carvalho, Leonel M.

AU - Miranda, Vladimiro

AU - Da Silva, Armando L.

PY - 2019/7/13

Y1 - 2019/7/13

N2 - 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.

AB - 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.

KW - CE+EPSO

KW - LSGO

KW - SCOPF

UR - http://dl.acm.org/citation.cfm?doid=3319619.3326768

UR - http://www.scopus.com/inward/record.url?scp=85070583985&partnerID=8YFLogxK

U2 - 10.1145/3319619.3326768

DO - 10.1145/3319619.3326768

M3 - Conference contribution

SN - 978-1-4503-6748-6

T3 - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

SP - 69

EP - 70

BT - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

PB - ACM

ER -