Research on Location Routing Optimization of Rescue Center After Earthquake Based on Two-stage Heuristic Algorithm

DOI

10.2991/aebmr.k.210601.024How to use a DOI?

Keywords

Wounded rescue, Rescue center location, Rescue route optimization, Immune optimization algorithm

Abstract

When a large-scale earthquake occurs, due to road damage and limited resources, the injured often cannot get timely treatment. At this time, local governments at all levels need to quickly carry out rescue work, immediately activate emergency plans, and establish material distribution points and rescue centers.Reasonable location of emergency facilities can reduce the distance between evacuees and resources. This paper establishes a problem model related to rescue center location and rescue route. First, minimize the cost of rescue center location as the first stage optimization goal, and use immune optimization algorithm to solve it, and then select a reasonable rescue center location. Sceondly, a two-stage mathematical programming model for post-earthquake wounded rescue with the shortest total rescue routes is established, simulated annealing algorithm and ant colony algorithm are designed to solve the problem, and the results of these two algorithms are compared and analyzed.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Siyun Zeng
AU  - Chong Ye
PY  - 2021
DA  - 2021/06/02
TI  - Research on Location Routing Optimization of Rescue Center After Earthquake Based on Two-stage Heuristic Algorithm
BT  - Proceedings of the 2021 International Conference on Enterprise Management and Economic Development (ICEMED 2021)
PB  - Atlantis Press
SP  - 137
EP  - 142
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210601.024
DO  - 10.2991/aebmr.k.210601.024
ID  - Zeng2021
ER  -