dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGallego, R. A.
dc.creatorRomero, R.
dc.creatorMonticelli, A. J.
dc.date2014-05-20T15:26:47Z
dc.date2016-10-25T18:01:25Z
dc.date2014-05-20T15:26:47Z
dc.date2016-10-25T18:01:25Z
dc.date2000-05-01
dc.date.accessioned2017-04-05T23:58:36Z
dc.date.available2017-04-05T23:58:36Z
dc.identifierIEEE Transactions on Power Systems. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 15, n. 2, p. 490-495, 2000.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/36872
dc.identifierhttp://acervodigital.unesp.br/handle/11449/36872
dc.identifier10.1109/59.867130
dc.identifierWOS:000089233700005
dc.identifierhttp://dx.doi.org/10.1109/59.867130
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/880293
dc.descriptionLarge scale combinatorial problems such as the network expansion problem present an amazingly high number of alternative configurations with practically the same investment, but with substantially different structures (configurations obtained with different sets of circuit/transformer additions). The proposed parallel tabu search algorithm has shown to be effective in exploring this type of optimization landscape. The algorithm is a third generation tabu search procedure with several advanced features. This is the most comprehensive combinatorial optimization technique available for treating difficult problems such as the transmission expansion planning. The method includes features of a variety of other approaches such as heuristic search, simulated annealing and genetic algorithms. In all test cases studied there are new generation, load sites which can be connected to an existing main network: such connections may require more than one line, transformer addition, which makes the problem harder in the sense that more combinations have to be considered.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Power Systems
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjecttabu search
dc.subjectnetwork synthesis
dc.subjectcombinatorial optimization
dc.titleTabu search algorithm for network synthesis
dc.typeOtro


Este ítem pertenece a la siguiente institución