DocumentCode
3349085
Title
Notice of Retraction
The research about emergency logistics path optimization based on MAX - MIN ant colony algorithm
Author
Teng Fei ; Hong-wei Ren ; Li-Yi Zhang ; Jin Zhang ; Qian Li
Author_Institution
Inf. Eng. Coll., Tianjin Univ. of Commerce, Tianjin, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1211
Lastpage
1215
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
After disasters the emergency logistics distribution path selection problem is the key to the ways to ensure relief work go on wheels. In this article, MAX-MIN ant colony algorithm is used to solve the problem about post-disaster emergency logistics distribution path selection so that the emergency relief supplies will be sending to the disaster area more efficiently. The MAX - MIN ant colony algorithm, which has been proved by simulation, possesses advantage on solving the problem about post-disaster emergency logistics distribution path selection.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
After disasters the emergency logistics distribution path selection problem is the key to the ways to ensure relief work go on wheels. In this article, MAX-MIN ant colony algorithm is used to solve the problem about post-disaster emergency logistics distribution path selection so that the emergency relief supplies will be sending to the disaster area more efficiently. The MAX - MIN ant colony algorithm, which has been proved by simulation, possesses advantage on solving the problem about post-disaster emergency logistics distribution path selection.
Keywords
disasters; emergency services; goods distribution; logistics; minimax techniques; MAX-MIN ant colony algorithm; disaster area; emergency logistics path optimization; Algorithm design and analysis; Cities and towns; Logistics; Materials; Optimization; Roads; Vehicles; Emergency logistics; MAX - MIN Ant System; path selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022514
Filename
6022514
Link To Document