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Distributed optimization with information-constrained population dynamics

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dc.creatorPantoja, A.spa
dc.creatorObando Bravo, Germán Dariospa
dc.creatorQuijano, N.spa
dc.date.accessioned2020-05-25T23:56:39Z
dc.date.available2020-05-25T23:56:39Z
dc.date.created2019spa
dc.description.abstractIn a multi-agent framework, distributed optimization problems are generally described as the minimization of a global objective function, where each agent can get information only from a neighborhood defined by a network topology. To solve the problem, this work presents an information-constrained strategy based on population dynamics, where payoff functions and tasks are assigned to each node in a connected graph. We prove that the so-called distributed replicator equation (DRE) converges to an optimal global outcome by means of the local-information exchange subject to the topological constraints of the graph. To show the application of the proposed strategy, we implement the DRE to solve an economic dispatch problem with distributed generation. We also present some simulation results to illustrate the theoretic optimality and stability of the equilibrium points and the effects of typical network topologies on the convergence rate of the algorithm. © 2018 The Franklin Instituteeng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.jfranklin.2018.10.016
dc.identifier.issn160032
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22477
dc.language.isoengspa
dc.publisherElsevier Ltdspa
dc.relation.citationEndPage236
dc.relation.citationIssueNo. 1
dc.relation.citationStartPage209
dc.relation.citationTitleJournal of the Franklin Institute
dc.relation.citationVolumeVol. 356
dc.relation.ispartofJournal of the Franklin Institute, ISSN:160032, Vol.356, No.1 (2019); pp. 209-236spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85056770633&doi=10.1016%2fj.jfranklin.2018.10.016&partnerID=40&md5=dde8ddc9deaa962c31b86b6837a52eb6spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordConstrained optimizationspa
dc.subject.keywordElectric load dispatchingspa
dc.subject.keywordGraph theoryspa
dc.subject.keywordMulti agent systemsspa
dc.subject.keywordPopulation dynamicsspa
dc.subject.keywordSchedulingspa
dc.subject.keywordConvergence ratesspa
dc.subject.keywordDistributed optimizationspa
dc.subject.keywordEconomic dispatch problemsspa
dc.subject.keywordEquilibrium pointspa
dc.subject.keywordGlobal objective functionsspa
dc.subject.keywordLocal informationspa
dc.subject.keywordMultiagent frameworkspa
dc.subject.keywordTopological constraintsspa
dc.subject.keywordProblem solvingspa
dc.titleDistributed optimization with information-constrained population dynamicsspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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