Title :
The Research on Risk Evaluation for Technological Innovation Base on Improved Genetic Algorithm
Author :
Li Shuang-chen ; Yang Yu-mei
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Abstract :
To the risks of technological innovation, risk evaluation index system is set up, and the comprehensive evaluation model is introduced in this paper. The weight of each risk factor influencing technological innovation in the model has been objectively calculated by using improved genetic algorithm . A practical example shows that this method can obtain the optimum scheme and provide the scientific decision basis for investor and administrator of technological innovation.
Keywords :
commerce; genetic algorithms; innovation management; risk analysis; genetic algorithm; risk evaluation index system; technological innovation; Environmental economics; Genetic algorithms; Innovation management; Investments; Organizing; Power generation economics; Power system modeling; Risk management; Technological innovation; Technology management;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.237
