DocumentCode
2821872
Title
Notice of Retraction
New Non-Equidistant Optimum GM(1,1) Model with Modified the First Component Taken as Initial Value and Its Application to Metal Cutting Data Processing
Author
Youxin Luo ; Zheming He ; Qiyun Liu
Author_Institution
Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
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.
Based on grey system theory, a new kind of nonequidistant optimum grey model GM(1,1) with optimizing modified the first components taken as initial value of response function of grey differential equation and reconstructing the background value function to obtain the approximately expressions of parameters of the background value function was proposed, the method of precision inspection was introduced. On the basis of GuoTao algorithm, an elite multi-parent crossover evolutionary optimization algorithm was proposed by introducing the elite-preservation strategy and constructing dynamic penalty function, the elite multi-parent crossover evolutionary optimization algorithm (EMPCOA) program EMPCOA1.0 was developed with Matlab. The example was given. The method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model´s fitting precision and prediction is advanced and the scope of application is enlarged. The model is simple and practical, and has a generalizing value in metal cutting data process.
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.
Based on grey system theory, a new kind of nonequidistant optimum grey model GM(1,1) with optimizing modified the first components taken as initial value of response function of grey differential equation and reconstructing the background value function to obtain the approximately expressions of parameters of the background value function was proposed, the method of precision inspection was introduced. On the basis of GuoTao algorithm, an elite multi-parent crossover evolutionary optimization algorithm was proposed by introducing the elite-preservation strategy and constructing dynamic penalty function, the elite multi-parent crossover evolutionary optimization algorithm (EMPCOA) program EMPCOA1.0 was developed with Matlab. The example was given. The method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model´s fitting precision and prediction is advanced and the scope of application is enlarged. The model is simple and practical, and has a generalizing value in metal cutting data process.
Keywords
cutting; differential equations; evolutionary computation; grey systems; metallurgical industries; metals; production engineering computing; EMPCOA algorithm; EMPCOA1.0 program; GuoTao algorithm; background value function; dynamic penalty function; elite multiparent crossover evolutionary optimization; elite-preservation strategy; grey differential equation; grey system theory; metal cutting data processing; nonequidistant optimum GM model; nonequidistant optimum grey model; precision inspection; response function; Art; Data processing; Educational institutions; Inspection; Mathematical model; Mechanical engineering; Predictive models; Probability; Statistical analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363622
Filename
5363622
Link To Document