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
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.
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;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022514
