DocumentCode :
2835459
Title :
Min-max robust optimization for the Wounded Transfer Problem in large-scale emergencies
Author :
Ma, Xin ; Song, Yuantao ; Huang, Jun
Author_Institution :
Sch. of Math., Grad. Sch. of Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
901
Lastpage :
904
Abstract :
In this paper, we are interested in obtaining robust solutions to the Wounded Transfer Problem based on an absolute robustness criterion, in the background of large-scale emergencies such as typhoons, floods, earthquakes, droughts and so on. We firstly describe the related methodology, and then introduce a min-max robust multi-point transportation model with multi-type vehicles to minimize the maximum rescue time across all scenarios. Lastly, a computational experiment is provided to illustrate the effectiveness of this approach in the decision making of rescue activities in large-scale emergencies.
Keywords :
emergency services; minimax techniques; transportation; absolute robustness criterion; large-scale emergencies; maximum rescue time minimization; min-max robust optimization; multipoint transportation model; multitype vehicles; wounded transfer problem; Ant colony optimization; Decision making; Earthquake engineering; Floods; Large-scale systems; Robustness; Routing; Transportation; Uncertainty; Vehicles; Absolute Robustness; Large-scale Emergency; Robust Optimization; the Wounded Transfer Problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498096
Filename :
5498096
Link To Document :
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