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Type: Artigo de periódico
Title: A metaheuristic to solve the transmission expansion planning
Author: Romero, R
Rider, MJ
Silva, ID
Abstract: In this letter, a genetic algorithm (GA) is applied to solve - the static and multistage transmission expansion planning (TEP) problem. The characteristics of the proposed GA to solve the TEP problem are presented. Results using some known systems show that the proposed GA solves a smaller number of linear programming problems in order to find the optimal solutions and obtains a better solution for the multistage TEP problem.
Subject: combinatorial optimization
genetic algorithm
transmission expansion planning
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/TPWRS.2007.907592
Date Issue: 2007
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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