Title :
Emergency resources scheduling model & algorithm
Author :
Chuanhua Zeng ; Yu Wu
Author_Institution :
Control & Safety Key Lab. of Sichuan Province, Xihua Univ., Chengdu, China
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;
Conference_Titel :
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2885-9
DOI :
10.1109/GCIS.2013.29