Un problema de localización multiobjetivo en la fase de preparación para desastres por sismos en la ciudad de Bucaramanga

Este trabajo presenta una optimización multiobjetivo a través de un algoritmo elitista NSGAII para el problema de localización de albergues temporales en la fase de preparación para desastres por sismos en la ciudad de Bucaramanga. El diseño del modelo matemático incluyó la minimización de la distan...

Full description

Autores:

Contreras Arevalo, Maria Alejandra
Martinez Galvis, Andrea Cristina

Tipo de recurso:

http://purl.org/coar/version/c_b1a7d7d4d402bcce

Fecha de publicación:

2016

Institución:

Universidad Industrial de Santander

Repositorio:

Repositorio UIS

Idioma:

spa

OAI Identifier:

oai:noesis.uis.edu.co:20.500.14071/34752

Acceso en línea:

https://noesis.uis.edu.co/handle/20.500.14071/34752
https://noesis.uis.edu.co

Palabra clave:

Logística Humanitaria
Modelos De Optimización
Ubicación Y Selección De Albergues
Problema De Localización De Instalaciones
Optimización Multicriterio
Algoritmo Evolutivo.
This project presents a multi-objective optimization through an elitist NSGAII algorithm for the location problem of temporary shelters in the phase of disaster preparedness for earthquakes in the city of Bucaramanga. The design of the mathematical model included minimizing the distance traveled by the affected population to shelters and maximizing of the minimum capacity utilization of shelters
seeking to ensure maximum coverage in the service. A scenario application was developed by an earthquake estimated intensity 6 on Richter scale data; by building a network of facilities and customers and thus generate a first approach to solving the problem. This project presents a multi-objective optimization through an elitist NSGAII algorithm for the location problem of temporary shelters in the phase of disaster preparedness for earthquakes in the city of Bucaramanga. The design of the mathematical model included minimizing the distance traveled by the affected population to shelters and maximizing of the minimum capacity utilization of shelters
seeking to ensure maximum coverage in the service. A scenario application was developed by an earthquake estimated intensity 6 on Richter scale data; by building a network of facilities and customers and thus generate a first approach to solving the problem. by building a network of facilities and customers and thus generate a first approach to solving the problem.

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License

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)