Engineering Sciences

Engineering Sciences

Karynca Koloni Optimizasyon Algoritmalary ile Risk Faktörlerine Ba?ly Optimum Hastane Yerle?im Noktasynyn Bulunmasy

Yazarlar: Mustafa ÇAKIR, Mustafa Oral, Ahmet AYDIN

Cilt 6 , Sayı 1 , 2011 , Sayfalar 195 - 208

Konular:-

DOI:10.12739/nwsaes.v6i1.5000067023

Anahtar Kelimeler:Hospital site selection,Ant Colony Optimization Algorithm,Site selection problem,Multi criteria decision making,Optimization

Özet: A settlement may display different values of risks. For instance, some regions in a settlement may be; densely populated or/and showing an increasing trend in the number of elderly that carries high risk of disease, or/and having junctions with high accident records. One of the main issues that has to be taken into account while selecting a hospital site is the risk factors. Considering the minimization of risks and costs makes hospital site selection process an optimization problem. One of these methods is Ant Colony Optimization Algorithm that is inspired from real life ants' behavior to find the shortest path on foraging. Ant Colony Optimization Algorithm has applied successfully for hospital site selection in a settlement and defining risk factors.

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@article{2011, title={Karynca Koloni Optimizasyon Algoritmalary ile Risk Faktörlerine Ba?ly Optimum Hastane Yerle?im Noktasynyn Bulunmasy}, volume={6}, number={195–208}, publisher={Engineering Sciences}, author={Mustafa ÇAKIR,Mustafa Oral,Ahmet AYDIN}, year={2011} }
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Mustafa ÇAKIR,Mustafa Oral,Ahmet AYDIN. (2011). Karynca Koloni Optimizasyon Algoritmalary ile Risk Faktörlerine Ba?ly Optimum Hastane Yerle?im Noktasynyn Bulunmasy (Vol. 6). Vol. 6. Engineering Sciences.
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Mustafa ÇAKIR,Mustafa Oral,Ahmet AYDIN. Karynca Koloni Optimizasyon Algoritmalary Ile Risk Faktörlerine Ba?Ly Optimum Hastane Yerle?Im Noktasynyn Bulunmasy. no. 195–208, Engineering Sciences, 2011.
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