DocumentCode
530688
Title
Notice of Retraction
Improved genetic algorithm in the application of ceramic body formula optimization
Author
Jie Cheng ; Yun Yang
Author_Institution
Sch. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an, China
Volume
4
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
150
Lastpage
153
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 solve the “premature convergence” and inefficiency during the following period of the evolution, an improved genetic algorithm was presented. Then we took ceramic body as example, and we established the mathematical model of multi-objective optimization for ceramic body formula by parallel selection. After experimental verification, this method produces the results with high precision and narrow tolerance to optimize the formula, and will has a good prospect of application in the area of optimization design.
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 solve the “premature convergence” and inefficiency during the following period of the evolution, an improved genetic algorithm was presented. Then we took ceramic body as example, and we established the mathematical model of multi-objective optimization for ceramic body formula by parallel selection. After experimental verification, this method produces the results with high precision and narrow tolerance to optimize the formula, and will has a good prospect of application in the area of optimization design.
Keywords
ceramics; genetic algorithms; ceramic body formula optimization; improved genetic algorithm; mathematical model; multiobjective optimization; parallel selection; Ceramics; Chemicals; Job shop scheduling; Optimization; Processor scheduling; Silicon compounds; body formula; ceramic; improved genetic algorithm; multi-objective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610204
Filename
5610204
Link To Document