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

doi:10.1145/3319619.3326768

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/Published conference output › Conference publication

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
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	https://doi.org/10.1145/3319619.3326768
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

Conference

Conference	2019 Genetic and Evolutionary Computation Conference, GECCO 2019
Country/Territory	Czech Republic
City	Prague
Period	13/07/19 → 17/07/19

Funding

This work investigated CE+EPSO for solving SCOPF problems. CE+EPSO is single-objective metaheuristic that incorporates some features of evolutionary algorithms, swarm intelligence and cross entropy methods. The results indicated that the CE+EPSO algorithm is an efficient and competitive technique to tackle large-scale problems as SCOPF problem. The experimental results also showed that the proposed approach reached competitive results when compared to the other algorithms considered as state-of-art for solving the proposed test beds. ACKNOWLEDGMENT The authors would like to thank the CAPES, CNPq, FAPEMIG and FAPERJ for financial support. V. Miranda and L. Carvalho acknowledge funding from FCT within project UID/EEA/50014/2019.

Keywords

CE+EPSO
LSGO
SCOPF

Access to Document

10.1145/3319619.3326768

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

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title = "Ce+Epso: A merged approach to solve SCOPF problem",

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.",

keywords = "CE+EPSO, LSGO, SCOPF",

author = "Marcelino, {Carolina G.} and Carlos Pedreira and Wanner, {Elizabeth F.} and Carvalho, {Leonel M.} and Vladimiro Miranda and {Da Silva}, {Armando L.}",

year = "2019",

month = jul,

day = "13",

doi = "10.1145/3319619.3326768",

language = "English",

isbn = "978-1-4503-6748-6",

series = "GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",

publisher = "ACM",

pages = "69--70",

booktitle = "GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",

address = "United States",

note = "2019 Genetic and Evolutionary Computation Conference, GECCO 2019 ; Conference date: 13-07-2019 Through 17-07-2019",

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Marcelino, CG, Pedreira, C, Wanner, EF, Carvalho, LM, Miranda, V & Da Silva, AL 2019, Ce+Epso: A merged approach to solve SCOPF problem. in 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. et al.
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, 2019. p. 69-70 (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Ce+Epso

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AU - Pedreira, Carlos

AU - Wanner, Elizabeth F.

AU - Carvalho, Leonel M.

AU - Miranda, Vladimiro

AU - Da Silva, Armando L.

PY - 2019/7/13

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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.

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Marcelino CG, Pedreira C, Wanner EF, Carvalho LM, Miranda V, Da Silva AL. Ce+Epso: A merged approach to solve SCOPF problem. In GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM. 2019. p. 69-70. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion). doi: 10.1145/3319619.3326768

Ce+Epso: A merged approach to solve SCOPF problem

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