Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/100309
Type: Artigo de evento
Title: Comparative Studies On Non-convex Optimization Methods For Transmission Network Expansion Planning
Author: Gallego R.A.
Monticelli A.
Romero R.
Abstract: We have investigated and extensively tested three families of non-convex optimization approaches for solving the transmission network expansion planning problem: simulated annealing (SA), genetic algorithms (GA), and tabu search algorithms (TS). The paper compares the main features of the three approaches and presents an integrated view of these methodologies. A hybrid approach is then proposed which presents performances which are far better than the ones obtained with any of these approaches individually. Results obtained in tests performed with large scale real-life networks are summarized.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0030680768&partnerID=40&md5=ad96bf8504d6d344957205485aeb308b
Date Issue: 1997
Appears in Collections:Unicamp - Artigos e Outros Documentos

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