A first approach to a hybrid algorithm for mobile emergency resources allocation

Catumba, Jorge; Rentería, Rafael; Redondo, Johan Manuel; Aguiar, Leonar; Barrera, José Octaviano

dc.creator	Catumba, Jorge
dc.creator	Rentería, Rafael
dc.creator	Redondo, Johan Manuel
dc.creator	Aguiar, Leonar
dc.creator	Barrera, José Octaviano
dc.date	2018-11-02
dc.date.accessioned	2020-04-08T22:14:56Z
dc.date.available	2020-04-08T22:14:56Z
dc.identifier	https://hemeroteca.unad.edu.co/index.php/memorias/article/view/3069
dc.identifier	10.22490/25904779.3069
dc.identifier.uri	https://repository.unad.edu.co/handle/10596/32542
dc.description	We present a hybrid algorithm based on Genetic Algorithms and Discrete Event Simulation that computes the algorithmic-optimal location of emergency resources. Parameters for the algorithm were obtained from computed historical statistics of the Bogotá Emergency Medical Services. Considerations taken into account are: (1) no more than a single resource is sent to an incident, (2) resources are selected according to incidentpriorities (3) distance from resource base to incident location is also considered for resource assignment and (4) all resources must be used equally. For every simulation, a different set of random incidents is generated so it’s possible to use the algorithm with an updated set of historical incidents. We found that the genetic algorithm converges so we can consider its solution as an optimal. With the algorithmic-optimal solution we found that arrival times are shorter than the historical ones. It’s also possible to compute the amount of required resources to reduce even more the arrival times. Since every Discrete Event Simulation takes a considerable amount of time the whole algorithm takes a heavy amount of time for large simulation time-periods and for many individuals for generation in the genetic algorithm, so an optimization approach is the next step in our research. Also, less restricted considerations must be taken into account for future developments in this topic.	es-ES
dc.format	application/pdf
dc.language	spa
dc.publisher	UNAD	es-ES
dc.relation	https://hemeroteca.unad.edu.co/index.php/memorias/article/view/3069/3105
dc.rights	Derechos de autor 2019 Memorias	es-ES
dc.source	Memorias; Workshop and International Seminar on Complexity Sciencies; 73 - 79	es-ES
dc.source	2590-4779
dc.subject	Genetic Algorithms	es-ES
dc.subject	Discrete Event Simulation	es-ES
dc.subject	Hybrid Modeling	es-ES
dc.subject	Emergency Medical Services	es-ES
dc.subject	arrival time	es-ES
dc.subject	Optimization	es-ES
dc.title	A first approach to a hybrid algorithm for mobile emergency resources allocation	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Artículo revisado por pares	es-ES