Evolutionary modeling of larval dispersal in blowflies using non-uniform cellular automata

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dc.contributor.authorRomano, Ana L. T.
dc.contributor.authorGomes, Leonardo [UNESP]
dc.contributor.authorGomes, Guilherme [UNESP]
dc.contributor.authorPuma-Villanueva, Wilfredo
dc.contributor.authorZanetti, Marcelo
dc.contributor.authorVon Zuben, Claudio J. [UNESP]
dc.contributor.authorVon Zuben, Fernando J.
dc.contributor.institutionIEEE
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:02Z
dc.date.available2014-05-27T11:22:02Z
dc.date.issued2006-12-01
dc.description.abstractWhen the food supply flnishes, or when the larvae of blowflies complete their development and migrate prior to the total removal of the larval substrate, they disperse to find adequate places for pupation, a process known as post-feeding larval dispersal. Based on experimental data of the Initial and final configuration of the dispersion, the reproduction of such spatio-temporal behavior is achieved here by means of the evolutionary search for cellular automata with a distinct transition rule associated with each cell, also known as a nonuniform cellular automata, and with two states per cell in the lattice. Two-dimensional regular lattices and multivalued states will be considered and a practical question is the necessity of discovering a proper set of transition rules. Given that the number of rules is related to the number of cells in the lattice, the search space is very large and an evolution strategy is then considered to optimize the parameters of the transition rules, with two transition rules per cell. As the parameters to be optimized admit a physical interpretation, the obtained computational model can be analyzed to raise some hypothetical explanation of the observed spatiotemporal behavior. © 2006 IEEE.en
dc.description.affiliationIEEE
dc.description.affiliationLaboratory of Bioinformatics and Bioinspired Computing (LBiC) School of Electrical and Computer Engineering (FEEC) University of Campinas (Unicamp), CP. 6101, CEP 13083-970, Campinas, SP
dc.description.affiliationDepartment of Zoology Sao Paulo State University (UNESP), Av. 24A, 1.515, CEP 13506-900, Rio Claro, SP
dc.description.affiliationUnespDepartment of Zoology Sao Paulo State University (UNESP), Av. 24A, 1.515, CEP 13506-900, Rio Claro, SP
dc.format.extent1127-1134
dc.identifierhttp://dx.doi.org/10.1109/CEC.2006.1688436
dc.identifier.citation2006 IEEE Congress on Evolutionary Computation, CEC 2006, p. 1127-1134.
dc.identifier.doi10.1109/CEC.2006.1688436
dc.identifier.lattes7562851016795381
dc.identifier.orcid0000-0002-9622-3254
dc.identifier.scopus2-s2.0-34547290930
dc.identifier.urihttp://hdl.handle.net/11449/69236
dc.language.isoeng
dc.relation.ispartof2006 IEEE Congress on Evolutionary Computation, CEC 2006
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectLarval dispersal
dc.subjectMigrate
dc.subjectPupation
dc.subjectSpatio-temporal behavior
dc.subjectTransition rules
dc.subjectCells
dc.subjectCrystal lattices
dc.subjectFood supply
dc.subjectOptimization
dc.subjectParameter estimation
dc.subjectEvolutionary algorithms
dc.titleEvolutionary modeling of larval dispersal in blowflies using non-uniform cellular automataen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes7562851016795381[6]
unesp.author.orcid0000-0002-9622-3254[6]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Rio Claropt

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