Genetic algorithm of chu and beasley for static and multistage transmission expansion planning

dc.contributor.authorDe Silva, Irênio J.
dc.contributor.authorRider, Marcos J.
dc.contributor.authorRomero, Rubén [UNESP]
dc.contributor.authorMurari, Carlos A.
dc.contributor.institutionIEEE
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:03Z
dc.date.available2014-05-27T11:22:03Z
dc.date.issued2006-12-01
dc.description.abstractIn this paper the genetic algorithm of Chu and Beasley (GACB) is applied to solve the static and multistage transmission expansion planning problem. The characteristics of the GACB, and some modifications that were done, to efficiently solve the problem described above are also presented. Results using some known systems show that the GACB is very efficient. To validate the GACB, we compare the results achieved using it with the results using other meta-heuristics like tabu-search, simulated annealing, extended genetic algorithm and hibrid algorithms. © 2006 IEEE.en
dc.description.affiliationIEEE
dc.description.affiliationDepartment of Electric Energy Systems State University of Campinas, Campinas - SP
dc.description.affiliationFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SP
dc.description.affiliationUnespFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SP
dc.identifierhttp://dx.doi.org/10.1109/PES.2006.1709172
dc.identifier.citation2006 IEEE Power Engineering Society General Meeting, PES.
dc.identifier.doi10.1109/PES.2006.1709172
dc.identifier.scopus2-s2.0-35348899544
dc.identifier.urihttp://hdl.handle.net/11449/69250
dc.language.isoeng
dc.relation.ispartof2006 IEEE Power Engineering Society General Meeting, PES
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCombinatorial optimization
dc.subjectGenetic algorithm of Chu and Beasley
dc.subjectMeta-heuristics
dc.subjectTransmission expansion planning
dc.subjectGenetic algorithms
dc.subjectProblem solving
dc.subjectSimulated annealing
dc.subjectStrategic planning
dc.subjectElectric power transmission
dc.titleGenetic algorithm of chu and beasley for static and multistage transmission expansion planningen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt
unesp.departmentEngenharia Elétrica - FEISpt

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