Emergency rescue network design: optimization models and algorithms

Congcong Cui; Yanping Zhang; Na Cui

doi:10.1117/12.2675546

25 May 2023 Emergency rescue network design: optimization models and algorithms

Congcong Cui, Yanping Zhang, Na Cui

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364H (2023) https://doi.org/10.1117/12.2675546
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

The injure of people's lives, damage of property, and breakdown of infrastructure have been caused by various frequently emergencies. More and more experts and scholars at home and abroad have studied and discussed the optimization decision-making of emergency rescue. Considering the decision-making influencing factors in the process of emergency rescue, a variety of mathematical programming models are constructed, such as emergency facilities location, allocation of emergency resources, location-routing problem and other comprehensive optimization problems. According to the modeling types and characteristics, this paper summarizes the relevant emergency rescue network optimization models and algorithms, analyzes the limitations of the emergency modeling at present, and looks forward to the future research of the emergency rescue network activity chain, in order to lay a theoretical foundation for the future research to better promote the development of emergency model building and make better emergency decisions and rescue plans.

Citation Download Citation

Congcong Cui, Yanping Zhang, and Na Cui "Emergency rescue network design: optimization models and algorithms", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364H (25 May 2023); https://doi.org/10.1117/12.2675546

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