DocumentCode
532914
Title
Notice of Retraction
Application of improved genetic algorithm in microstructure optimization of closed-cell material
Author
Zhao Junfeng ; Cui Junzhi ; Li Wei
Author_Institution
Dept. of Appl. Math., Northwestern Polytech. Univ., Xi´an, China
Volume
15
fYear
2010
fDate
22-24 Oct. 2010
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 this paper, we proposed an improved niche genetic algorithm on the basis of the density clustering-based DBSCAN algorithm which can distinct between niches dynamically and maintain the ability of population diversity. Its application in the field of closed-cell material optimization shows that the algorithm can effectively overcome some shortcomings, such as prematurity, poor local search capabilities in simple genetic algorithms. Moreover, this algorithm can get the results with a higher precision in a short time.
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 this paper, we proposed an improved niche genetic algorithm on the basis of the density clustering-based DBSCAN algorithm which can distinct between niches dynamically and maintain the ability of population diversity. Its application in the field of closed-cell material optimization shows that the algorithm can effectively overcome some shortcomings, such as prematurity, poor local search capabilities in simple genetic algorithms. Moreover, this algorithm can get the results with a higher precision in a short time.
Keywords
genetic algorithms; pattern clustering; statistical analysis; closed cell material optimization; density clustering based DBSCAN algorithm; improved niche genetic algorithm; microstructure optimization; population diversity; Computers; Genetics; Materials; Microstructure; Optimization; Solid modeling; density clustering; genetic algorithm; microstructure optimization; niche;
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
Type
conf
DOI
10.1109/ICCASM.2010.5622525
Filename
5622525
Link To Document