Bi-level Problem with Facility Allocation for Evacuation Planning

At the time of evacuation, placement of the facilities for the support of evacuees is an important task. The proper allocation of the facilities in such a way that the reduction in the flow value due to the placement of facilities on the arcs is minimal, is another important aspect of the problem. In this paper, we introduce an evacuation planning problem with facility allocation by using bi-level formulation. The upper level problem identifies the best possible location and lower level problem finds the optimal solution in the network with facility allocation. We solve the problem with a naive approach of combinatorial optimization and the Karush-Kuhn-Tucker (KKT) transformation. J. Bangladesh Math. Soc. 44.2 (2024) 017–027

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Journal
GANIT Journal of Bangladesh Mathematical Society
Published
2024-12-29
DOI
https://doi.org/10.3329/ganit.v44i2.78528
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Bi-level Problem with Facility Allocation for Evacuation Planning

Urmila Pyakurel, Durga Prasad Khanal, Tanka Nath Dhamalab, Stephan Dempec
GANIT Journal of Bangladesh Mathematical Society
Facility Location and Emergency Management
article

Bi-level Problem with Facility Allocation for Evacuation Planning

Urmila Pyakurel, Durga Prasad Khanal, Tanka Nath Dhamalab, Stephan Dempec
article en

Abstract

At the time of evacuation, placement of the facilities for the support of evacuees is an important task. The proper allocation of the facilities in such a way that the reduction in the flow value due to the placement of facilities on the arcs is minimal, is another important aspect of the problem. In this paper, we introduce an evacuation planning problem with facility allocation by using bi-level formulation. The upper level problem identifies the best possible location and lower level problem finds the optimal solution in the network with facility allocation. We solve the problem with a naive approach of combinatorial optimization and the Karush-Kuhn-Tucker (KKT) transformation. J. Bangladesh Math. Soc. 44.2 (2024) 017–027

GANIT Journal of Bangladesh Mathematical SocietyVol. 44(2)
Tribhuvan University (NP), TU Bergakademie Freiberg (DE)
University Grants Commission, Deutscher Akademischer Austauschdienst, University Grants Commission- Nepal
Sustainable cities and communities
Openalex Percentile: Top 66%
Facility Location and Emergency Management
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