Ramírez Hassan, Andrés2016-03-082015http://hdl.handle.net/10784/8152The probability of facing prison is one of the major factors that deters individual from committing crimes -- The degree of impact of this variable is affected both by the severity of penalties, and by the probability of being caught, which largely depends on the level of police coverage in the jurisdiction -- Thus, we consider a maximal covering location problem where the objective is to provide maximal coverage of weighted potential homicide spots through the construction of police stations for instant reaction, subject to a budget constraint -- Our empirical application is performed in Medellín (Colombia), one of the cities with the highest homicide rate in the World -- Specifically , we call the Google Maps Application Programming Interface (API) to estimate average travelling time between police stations and criminal spots, then we use a Simulated Annealing algorithm to find the best feasible allocation of stations subject to a set of suggested budgets -- We confirm that the maximum coverage follows a diminishing marginal process over the budgetengHomicidios - Medellín (Antioquia)Criminología - Aspectos económicosEstaciones de policía - ColombiaMétodos heurísticosinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessCRIMENPRISIONESPROGRAMACIÓN HEURÍSTICAFUNCIONES DE LAGRANGECRIMINOLOGÍA - INVESTIGACIONESANÁLISIS DE COSTOSNARCOTRÁFICOVIOLENCIA - COLOMBIAPrisonsCrimeHeuristic programmingLagrangian functionsCrime and Criminals - ResearchCost analysisNarcotic trafficViolence - ColombiaAcceso abierto2016-03-08Guarín Galeano, Arlen Yahír