DocumentCode
3276551
Title
Notice of Retraction
Application improvement Max-Min Ant System optimization SMT placement sequence
Author
Liu Jian ; Bi Yajun ; Zhao Guoxin ; Tao Lan ; Liu Chunyan
Author_Institution
Electron. Eng. Dept., North China Inst. of Aerosp. Eng., Lang Fang, China
fYear
2011
fDate
15-17 April 2011
Firstpage
4006
Lastpage
4009
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.
Each iteration , according to MMAS algorithm , should make sure every path´s pheromone can´t overstep the limitation itself, based on the pheromone update, the nearest domain selection strategy, local optimization, Max Min Ant System in path selection and initial solution structure. In this paper, the program is written to optimize the MMAS, and then is applied on the optimization SMT placement sequence. It is proved that the algorithm is reasonable and effective by simulation experiments. The production tests were carried out on the JUKI 2010 Mounter, and the achieved results were satisfactory.
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.
Each iteration , according to MMAS algorithm , should make sure every path´s pheromone can´t overstep the limitation itself, based on the pheromone update, the nearest domain selection strategy, local optimization, Max Min Ant System in path selection and initial solution structure. In this paper, the program is written to optimize the MMAS, and then is applied on the optimization SMT placement sequence. It is proved that the algorithm is reasonable and effective by simulation experiments. The production tests were carried out on the JUKI 2010 Mounter, and the achieved results were satisfactory.
Keywords
minimax techniques; path planning; MMAS algorithm; SMT placement sequence; local optimization; max-min ant system optimization; nearest domain selection strategy; path pheromone update; path selection; Ant colony optimization; Companies; Educational institutions; Electronic mail; Optimization; Surface waves; Traveling salesman problems; SMT; TSP; improvement MMAS; optimize; placement sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777424
Filename
5777424
Link To Document