Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/77209
Type: Artigo de periódico
Title: Transmission system expansion planning by an extended genetic algorithm
Author: Gallego, RA
Monticelli, A
Romero, R
Abstract: The paper presents an extended genetic algorithm for solving the optimal transmission network expansion planning problem. Two main improvements have been introduced in the genetic algorithm: (a) initial population obtained by conventional optimisation based methods; (b) mutation approach inspired in the simulated annealing technique, The proposed method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Excellent performance is reported in the test results section of the paper for a difficult large-scale real-life problem: a substantial reduction in investment costs has been obtained with regard to previous solutions obtained via conventional optimisation methods and simulated annealing algorithms; statistical comparison procedures have been employed in benchmarking different versions of the genetic algorithm and simulated annealing methods.
Subject: genetic algorithm
network static expansion planning
combinatorial optimisation
Country: Inglaterra
Editor: Iee-inst Elec Eng
Rights: fechado
Identifier DOI: 10.1049/ip-gtd:19981895
Date Issue: 1998
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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