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dc.contributor.authorBarreiro Gómez, Julián
dc.contributor.authorQuijano Silva, Nicanor
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2015-02-23T15:37:01Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationBarreiro, J.; Quijano, N.; Ocampo-Martinez, C.A. Constrained distributed optimization based on population dynamics. A: IEEE Conference on Decision and Control. "2014 IEEE 53rd Annual Conference on Decision and Control (CDC)". Los Angeles: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 4260-4265.
dc.identifier.isbn978-1-4799-7746-8
dc.identifier.urihttp://hdl.handle.net/2117/26472
dc.description.abstractThis paper proposes a novel methodology for solving constrained optimization problems in a distributed way, inspired by population dynamics and adding dynamics to the population masses. The proposed methodology divides the problem into smaller problems, whose feasible regions vary over time achieving an agreement to solve the global problem. The methodology also guarantees attraction to the feasible region and allows to have few changes in the decision-making design, when the network suffers the addition or removal of nodes. Simulation results are presented in order to illustrate several cases.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherdistributed optimization
dc.subject.otherpopulation dynamics.
dc.titleConstrained distributed optimization based on population dynamics
dc.typeConference report
dc.subject.lemacOptimització matemàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1109/CDC.2014.7040053
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15446621
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/318556/EU/Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks/EFFINET
dc.date.lift10000-01-01
local.citation.authorBarreiro, J.; Quijano, N.; Ocampo-Martinez, C.A.
local.citation.contributorIEEE Conference on Decision and Control
local.citation.pubplaceLos Angeles
local.citation.publicationName2014 IEEE 53rd Annual Conference on Decision and Control (CDC)
local.citation.startingPage4260
local.citation.endingPage4265


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