DocumentCode
2315880
Title
Notice of Retraction
Optimal allocation of public investment and objectives of the government
Author
Tian Lei ; Huang Hai
Author_Institution
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
8
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
4118
Lastpage
4121
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.
Public investment is important for the government to achieve macroeconomic targets. The spatial optimal design of public investment can be genetic algorithm (GA) based. The basic public investment model with income maximization objective was established by reconstructing optimal economic growth model to resolve spatial fund distribution problem. The objective function and constraints were handled on basis of GA. Binary string method was applied to design encoding and decoding approach. Case study shows the validity of the basic public investment model and the GA-based solution. Table analysis describes how the weights of different regions and sectors affect the income maximization objective. It is verified that the model is able to provide reliable reference for governmental economic decision.
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.
Public investment is important for the government to achieve macroeconomic targets. The spatial optimal design of public investment can be genetic algorithm (GA) based. The basic public investment model with income maximization objective was established by reconstructing optimal economic growth model to resolve spatial fund distribution problem. The objective function and constraints were handled on basis of GA. Binary string method was applied to design encoding and decoding approach. Case study shows the validity of the basic public investment model and the GA-based solution. Table analysis describes how the weights of different regions and sectors affect the income maximization objective. It is verified that the model is able to provide reliable reference for governmental economic decision.
Keywords
genetic algorithms; government; investment; macroeconomics; binary string method; decoding approach; encoding approach; genetic algorithm; government objectives; income maximization objective; macroeconomic targets; optimal economic growth model; public investment allocation; spatial fund distribution problem; Biological cells; Biological system modeling; Decoding; Economics; Encoding; Government; Investments;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5584892
Filename
5584892
Link To Document