DocumentCode
525844
Title
Notice of Retraction
Optical packing of rectangels based on improved dual-population genetic algorithm
Author
Jiang Yongliang ; Fu Chuanyi ; Zhang Chengyi
Author_Institution
Dept. of Inf. Technol., Qiongtai Teachers Coll., Haikou, China
Volume
1
fYear
2010
fDate
12-13 June 2010
Firstpage
36
Lastpage
39
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.
In order to overcome the defect of single-population genetic algorithm which is easy to converge at a local optimal solution an improved dual-population algorithm is proposed and it has been put into the use of rectangle layout optimization. In the algorithm initial populations are initialized in different ways. Each population uses different genetic operators and different immigration operations throughout the evolution. That made the algorithm get a better capacity of global optimization. Two examples of simulation results show that the improved dual-population genetic algorithm is superior to the single-population genetic algorithm and the traditional dual-population genetic algorithm in solving the rectangular layout optimization problems.
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.
In order to overcome the defect of single-population genetic algorithm which is easy to converge at a local optimal solution an improved dual-population algorithm is proposed and it has been put into the use of rectangle layout optimization. In the algorithm initial populations are initialized in different ways. Each population uses different genetic operators and different immigration operations throughout the evolution. That made the algorithm get a better capacity of global optimization. Two examples of simulation results show that the improved dual-population genetic algorithm is superior to the single-population genetic algorithm and the traditional dual-population genetic algorithm in solving the rectangular layout optimization problems.
Keywords
bin packing; genetic algorithms; dual-population genetic algorithm; genetic operators; global optimization; optical packing; rectangels; rectangular layout optimization problems; single-population genetic algorithm; Computers; Europe; Genetics; Routing; dual-population; genetic algorithm; optimal packing of ractangles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5543697
Filename
5543697
Link To Document