DocumentCode
2770326
Title
Notice of Retraction
Research on Multi-objective Talented Factors Based Genetic Algorithm
Author
Liu Ze-shuang ; Gao Ying
Author_Institution
Sch. of Bus. Manage., Xi´an Univ. of Technol., Xi´an, China
Volume
2
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
506
Lastpage
508
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 research the impact of talented factors on quality. Important part of human resources development is scientific assessment of talented factors. Firstly, briefly review assessment research methods, address multi-objective optimization genetic algorithm and assessment framework, establish talented factors indicators. Secondly, construction score matrix, give solution example. Lastly, find that talented factors influence on talented quality.
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 research the impact of talented factors on quality. Important part of human resources development is scientific assessment of talented factors. Firstly, briefly review assessment research methods, address multi-objective optimization genetic algorithm and assessment framework, establish talented factors indicators. Secondly, construction score matrix, give solution example. Lastly, find that talented factors influence on talented quality.
Keywords
ergonomics; genetic algorithms; human factors; human resource management; matrix algebra; construction score matrix; genetic algorithm; human resources development; multiobjective talented factors indicators; optimization; review assessment research methods; scientific assessment; talented quality; Character generation; Education; Genetic algorithms; Humans; Loss measurement; Measurement standards; Optimization methods; Paper technology; Personnel; Size measurement; genetic algorithm; talented factors; talented quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-0-7695-3892-1
Type
conf
DOI
10.1109/ICCTD.2009.121
Filename
5360198
Link To Document