DocumentCode
3157182
Title
Notice of Retraction
General optimization methods based on response surface model and intelligent algorithm
Author
Yangdong Wu ; Lifang Wang
Author_Institution
Lab. of Contemporary Manuf. Technol., Guizhou Univ., Guiyang, China
fYear
2011
fDate
16-18 April 2011
Firstpage
378
Lastpage
381
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.
This paper proposes that using response surface methodology to solve multiple variables problems, for multiple responses, transforming each response into desirability function and combined them to an overall desirability function, so the multiple responses can be changed into one single function, the overall desirability is solved through intelligent algorithm. At last section, a study case is given to show the feasibility of the methodology proposed in this paper.
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.
This paper proposes that using response surface methodology to solve multiple variables problems, for multiple responses, transforming each response into desirability function and combined them to an overall desirability function, so the multiple responses can be changed into one single function, the overall desirability is solved through intelligent algorithm. At last section, a study case is given to show the feasibility of the methodology proposed in this paper.
Keywords
optimisation; response surface methodology; desirability function; intelligent algorithm; multiresponse optimization; response surface model; Algorithm design and analysis; Analytical models; Discharges; Noise; Response surface methodology; Simulated annealing; Desirability function; Intelligent algorithm; Multiresponse optimization; Response surface methodology;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768682
Filename
5768682
Link To Document