Heuristic optimization of the p-median problem and population re-distribution


Autoria(s): Han, Mengjie
Data(s)

2013

Resumo

This thesis contributes to the heuristic optimization of the p-median problem and Swedish population redistribution.   The p-median model is the most representative model in the location analysis. When facilities are located to a population geographically distributed in Q demand points, the p-median model systematically considers all the demand points such that each demand point will have an effect on the decision of the location. However, a series of questions arise. How do we measure the distances? Does the number of facilities to be located have a strong impact on the result? What scale of the network is suitable? How good is our solution? We have scrutinized a lot of issues like those. The reason why we are interested in those questions is that there are a lot of uncertainties in the solutions. We cannot guarantee our solution is good enough for making decisions. The technique of heuristic optimization is formulated in the thesis.   Swedish population redistribution is examined by a spatio-temporal covariance model. A descriptive analysis is not always enough to describe the moving effects from the neighbouring population. A correlation or a covariance analysis is more explicit to show the tendencies. Similarly, the optimization technique of the parameter estimation is required and is executed in the frame of statistical modeling. 

Formato

application/pdf

Identificador

http://urn.kb.se/resolve?urn=urn:nbn:se:du-13255

urn:isbn:978-91-89020-89-4

Idioma(s)

eng

Publicador

Högskolan Dalarna, Statistik

Borlänge : Högskolan Dalarna

Relação

Dalarna Doctoral Dissertations ; 2013:1

Direitos

info:eu-repo/semantics/openAccess

Tipo

Doctoral thesis, comprehensive summary

info:eu-repo/semantics/doctoralThesis

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