Genetic algorithm based on ant colony optimization in service innovation capability evaluation
In the dual background of China's accession to the World Trade Organization and the financial globalization, China's financial enterprises are facing the impact of foreign financial enterprises, correct evaluation and estimation on China's banking services innovation capability has great significance to compare and analysis the gap between the China's Bank and the World Bank, according to the present innovation evaluation method, this paper puts forward a banking service innovation capability evaluation model based on improved genetic algorithm. The model introduced ant colony optimization on the basis of standard genetic algorithm, improved the scientificity and accuracy of banking service innovation capability evaluation. Besides, this paper still put enhancement on population diversity keeping in the algorithm, to ensure the robustness of the algorithm. The example test results shows that banking service innovation capability evaluation based on improved genetic algorithm model is practical and effective in the actual process, it can bring effective evaluation on banking service innovation capability, the use can be promote for its good effect.
Author's Name: Lai, R., Ni, X.
Volume: Volume 10
Issues: Issue 7
Keywords: Ant colony optimization, Banking service innovation capability, Improved genetic algorithm, Population diversity keeping