DocumentCode
2856416
Title
Improved ant colony optimization for emergency rescue VRP based on matlab
Author
Li, Ziyao
Author_Institution
Economic & Manage. Sch., Zhongyuan Univ. of Technol., Zhengzhou, China
Volume
14
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Ant colony algorithm offers us a effective method to look for shortest routing. This article aims at two goals, namely shortest rescue routing and shortest rescue time, and it sets up a multiple-objective vehicle routing problem(VRP) model. In order to increase speed of convergence, the article presents a new style of pheromone update-rank-based ant colony algorithm based on elite ant and improves visibility. The results of simulation experiments show that the improved algorithm surpasses existing algorithm in the performance and has better convergence.
Keywords
emergency services; optimisation; transportation; Matlab; emergency rescue VRP; improved ant colony optimization; multiple-objective vehicle routing problem model; shortest rescue routing; shortest rescue time; Computer languages; Vehicles; VRP; ant colony algorithm; matlab; semergency rescue;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5622143
Filename
5622143
Link To Document