DocumentCode
1997273
Title
Emergency resources scheduling model & algorithm
Author
Chuanhua Zeng ; Yu Wu
Author_Institution
Control & Safety Key Lab. of Sichuan Province, Xihua Univ., Chengdu, China
fYear
2013
fDate
3-4 Dec. 2013
Firstpage
144
Lastpage
148
Abstract
A reasonable allocation of emergency resources can decrease the effect area of the disaster, help victims in time, and reduce the disaster loss. It plays an important role in the whole process. In view of the urgency of transportation, this paper regards transport vehicles, goods and demand points as a network. Based on time windows, it presents a scheduling model for emergency resources with the shortest transportation distance as its goal and the vehicle load, the biggest trip mileage, the latest arrival time etc. as constraint conditions. The feasible solution can be found through ant colony algorithm, and the global search ability can be improved by using genetic algorithm. At last an example solved by ant colony algorithm and genetic algorithm is given to show the validity.
Keywords
ant colony optimisation; emergency management; emergency services; genetic algorithms; resource allocation; search problems; transportation; ant colony algorithm; emergency resource allocation; emergency resource scheduling algorithm; emergency resource scheduling model; genetic algorithm; global search ability; shortest transportation distance; transport vehicles; transportation urgency; trip mileage; vehicle load; Biological cells; Genetic algorithms; Joints; Load modeling; Materials; Vehicles; Allocation; Ant Colony Algorithm; Emergency Resources; Genetic Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4799-2885-9
Type
conf
DOI
10.1109/GCIS.2013.29
Filename
6805926
Link To Document