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A Methodology for Modeling and Optimizing Social Systems

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A Methodology for Modeling and Optimizing Social Systems

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dc.contributor.author Caselles, Antonio es_ES
dc.contributor.author Soler Fernández, David es_ES
dc.contributor.author Sanz, Maria T. es_ES
dc.contributor.author Micó, Joan C. es_ES
dc.date.accessioned 2021-02-11T04:32:04Z
dc.date.available 2021-02-11T04:32:04Z
dc.date.issued 2020-04-02 es_ES
dc.identifier.issn 0196-9722 es_ES
dc.identifier.uri http://hdl.handle.net/10251/161042
dc.description.abstract [EN] A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide optimal intervention ways to reach the stated objectives. Two optimization methods are used: (1) to test strategies and scenarios and (2) to optimize with a genetic algorithm. The application case presented is a small nonformal education Spanish business. First, the model is validated in the 2008-2012 period, and subsequently, the optimal way to obtain a maximum profit in the 2013-2025 period is obtained using the two methods. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Cybernetics & Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Economical model es_ES
dc.subject Genetic algorithm es_ES
dc.subject Sensitivity analysis es_ES
dc.subject Simulation es_ES
dc.subject Social systems es_ES
dc.subject Stochastic model es_ES
dc.subject Strategies and scenarios es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A Methodology for Modeling and Optimizing Social Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/01969722.2019.1684042 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Caselles, A.; Soler Fernández, D.; Sanz, MT.; Micó, JC. (2020). A Methodology for Modeling and Optimizing Social Systems. Cybernetics & Systems. 51(3):265-314. https://doi.org/10.1080/01969722.2019.1684042 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/01969722.2019.1684042 es_ES
dc.description.upvformatpinicio 265 es_ES
dc.description.upvformatpfin 314 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\409316 es_ES
dc.description.references Caselles, A. 1993. System Decomposition and Coupling. Cybernetics and Systems: An International Journal 24 (4):305–323. doi:10.1080/01969729308961712. es_ES
dc.description.references CASELLES, A. (1994). IMPROVEMENTS IN THE SYSTEMS-BASED MODELS GENERATOR SIGEM. Cybernetics and Systems, 25(1), 81-103. doi:10.1080/01969729408902317 es_ES
dc.description.references Caselles, A., Soler, D., Sanz, M. T., & Micó, J. C. (2014). SIMULATING DEMOGRAPHY AND HUMAN DEVELOPMENT DYNAMICS. Cybernetics and Systems, 45(6), 465-485. doi:10.1080/01969722.2014.929347 es_ES
dc.description.references Djidjeli, K., Price, W. G., Temarel, P., & Twizell, E. H. (1998). Partially implicit schemes for the numerical solutions of some non-linear differential equations. Applied Mathematics and Computation, 96(2-3), 177-207. doi:10.1016/s0096-3003(97)10133-3 es_ES
dc.description.references Gutiérrez, M. M. and H. P. Leone. 2012. DE2M: An environment for developing distributed and executable enterprise models. Advances in Engineering Software 47:80–103. doi:10.1016/j.advengsoft.2011.12.002. es_ES
dc.description.references SANZ, M. T., MICÓ, J. C., CASELLES, A., & SOLER, D. (2014). A Stochastic Model for Population and Well-Being Dynamics. The Journal of Mathematical Sociology, 38(2), 75-94. doi:10.1080/0022250x.2011.629064 es_ES
dc.description.references Sanz, M. T., Caselles, A., Micó, J. C., & Soler, D. (2016). Including an environmental quality index in a demographic model. International Journal of Global Warming, 9(3), 362. doi:10.1504/ijgw.2016.075448 es_ES
dc.description.references Shannon, R., & Johannes, J. D. (1976). Systems Simulation: The Art and Science. IEEE Transactions on Systems, Man, and Cybernetics, SMC-6(10), 723-724. doi:10.1109/tsmc.1976.4309432 es_ES


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