Simultaneous Location of k Portable Emergency Service Centers and Reconstruction of a Damaged Network

‎This paper addresses the problem of optimizing the reconstruction of links in a network in the aftermath of natural disasters or human errors‎, ‎such as landslides‎, ‎floods‎, ‎storms‎, ‎earthquakes‎, ‎bombing‎, ‎war‎, ‎etc‎. We aim to determine the optimal sequence for reconstructing the destroyed links within a specific time horizon, while simultaneously locating ‎‎(k)‎‎ portable emergency service centers (where ‎‎(k > 2) throughout the entire network. ‎In this paper‎, ‎the problem is considered in a tree structure‎. ‎A greedy algorithm and a heuristic method‎, ‎namely‎, ‎maximum radius‎, ‎are proposed to solve the problem‎. ‎We evaluate the performance of the proposed algorithms using randomly generated data‎. ‎The experimental results confirm the effectiveness of the proposed methods‎.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.22052/mir.2024.253656.1443
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Simultaneous Location of k Portable Emergency Service Centers and Reconstruction of a Damaged Network

SHILAP Revista de lepidopterología
Facility Location and Emergency Management
article

Simultaneous Location of k Portable Emergency Service Centers and Reconstruction of a Damaged Network

article en

Abstract

‎This paper addresses the problem of optimizing the reconstruction of links in a network in the aftermath of natural disasters or human errors‎, ‎such as landslides‎, ‎floods‎, ‎storms‎, ‎earthquakes‎, ‎bombing‎, ‎war‎, ‎etc‎. We aim to determine the optimal sequence for reconstructing the destroyed links within a specific time horizon, while simultaneously locating ‎‎(k)‎‎ portable emergency service centers (where ‎‎(k > 2) throughout the entire network. ‎In this paper‎, ‎the problem is considered in a tree structure‎. ‎A greedy algorithm and a heuristic method‎, ‎namely‎, ‎maximum radius‎, ‎are proposed to solve the problem‎. ‎We evaluate the performance of the proposed algorithms using randomly generated data‎. ‎The experimental results confirm the effectiveness of the proposed methods‎.

SHILAP Revista de lepidopterología
Sustainable cities and communities
Openalex Percentile: Top 56%
Facility Location and Emergency Management
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