Application of Genetic Algorithms in Project Declaration. Issue 5 (February 2019)

• Record Type: Journal Article
• Authors: Wang, Shanshan; Zhao, Ziping; Qiao, Yu
• Is Part Of: Journal of physics. Volume 1168:Issue 5(2019)
• Publication Date: 2019-02
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1168/5/052006
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the development of information technology, the arrival of era of big data, the scale of scientific research has been expanded continuously in universities, and the level of scientific research has been improved continuously. Nowadays, new demands are placed on scientific research management. In the scientific research management platform, the Genetic Algorithms has been applied well. Especially, the Genetic Algorithms has a better embodiment in expert detection of the project declaration subsystem. In order to solve the problem that a large amount of manpower is needed in the process of scientific research project review, we mainly analyze the application of Genetic Algorithms and use Genetic Algorithms to solve the problem of project management in scientific research management.