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