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An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning
Joint Authors
Rider, Marcos J.
Gallego, Luis A.
Paldilha-Feltrin, Antonio
Lavorato, Marina
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem.
The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs).
Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms.
Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem.
American Psychological Association (APA)
Gallego, Luis A.& Rider, Marcos J.& Lavorato, Marina& Paldilha-Feltrin, Antonio. 2012. An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-497474
Modern Language Association (MLA)
Gallego, Luis A.…[et al.]. An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-497474
American Medical Association (AMA)
Gallego, Luis A.& Rider, Marcos J.& Lavorato, Marina& Paldilha-Feltrin, Antonio. An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-497474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497474