Title :
Foreign Direct Investment in Chinese Industries: A Genetic Algorithm Approach
Author :
Chun, Qi ; Tang, Jhon C S
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminate analysis will be used as a parameter evaluation method for the analysis of inward foreign direct investment (FDI) in China. Results indicate that different industries various in determinants of FDI inflows. Each of them should develop their competitive attractive factors in attracting FDI inflows.
Keywords :
economics; foreign exchange trading; genetic algorithms; investment; Chinese industry; discriminate analysis; foreign direct investment; genetic algorithm; parameter evaluation; variable selection algorithm; Algorithm design and analysis; Biological system modeling; Cybernetics; Fault detection; Genetic algorithms; Input variables; Investments; Machine learning; Macroeconomics; Technology management; Chinese industries; FDI; GA;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370277
