6533b826fe1ef96bd12848ef
RESEARCH PRODUCT
A Methodology for Modeling and Optimizing Social Systems
Antonio CasellesJoan C. MicóDavid SolerMaría T. Sanzsubject
0209 industrial biotechnologyMathematical optimizationComputer scienceStochastic modellingEconomical model02 engineering and technologyConfidence intervalSocial systems020901 industrial engineering & automationStochastic modelGenetic algorithmArtificial IntelligenceSocial systemGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSystem methodologySensitivity analysisMATEMATICA APLICADASoftwareSimulationStrategies and scenariosInformation Systemsdescription
[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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-04-02 |