An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration
Joint Authors
Rivas-Davalos, F.
Torres, J.
Melgoza, Enrique
Guardado, José L.
Maximov, Serguei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Network reconfiguration is an alternative to reduce power losses and optimize the operation of power distribution systems.
In this paper, an encoding scheme for evolutionary algorithms is proposed in order to search efficiently for the Pareto-optimal solutions during the reconfiguration of power distribution systems considering multiobjective optimization.
The encoding scheme is based on the edge window decoder (EWD) technique, which was embedded in the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and the Nondominated Sorting Genetic Algorithm II (NSGA-II).
The effectiveness of the encoding scheme was proved by solving a test problem for which the true Pareto-optimal solutions are known in advance.
In order to prove the practicability of the encoding scheme, a real distribution system was used to find the near Pareto-optimal solutions for different objective functions to optimize.
American Psychological Association (APA)
Guardado, José L.& Rivas-Davalos, F.& Torres, J.& Maximov, Serguei& Melgoza, Enrique. 2014. An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049888
Modern Language Association (MLA)
Guardado, José L.…[et al.]. An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049888
American Medical Association (AMA)
Guardado, José L.& Rivas-Davalos, F.& Torres, J.& Maximov, Serguei& Melgoza, Enrique. An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049888
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049888