Ce+Epso: A merged approach to solve SCOPF problem

Carolina G. Marcelino, Carlos Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. Da Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
PublisherACM
Pages69-70
Number of pages2
ISBN (Electronic)9781450367486
ISBN (Print)978-1-4503-6748-6
DOIs
Publication statusPublished - 13 Jul 2019
Event2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019

Publication series

NameGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2019 Genetic and Evolutionary Computation Conference, GECCO 2019
CountryCzech Republic
CityPrague
Period13/07/1917/07/19

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