Research and Implementation of Professional Quality of Personnel Evaluation System Based on Multi-Dimensional

Abstract:

this paper uses a new genetic algorithm (New Genetic Algorithm, NGA) to implement the automatic group volume function, solving the problem that the paper is not fully considered scores distribution of knowledge points in the test paper (test dimension) in the system using traditional genetic algorithm (Genetic Algorithm, GA) to implement automatic group volume, putting forward and redefining the fitness function to speed up the convergence. Simulation experiments show that the NGA algorithm is not only efficient, but can generate a valid paper, making the paper score can on the multi-dimensional of the test as far as possible to achieve uniform distribution.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 4725-4729
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.4725
• Online since: November 2014
• Authors: Min Jiang*, Ying Jiang
• Keywords: Automatic Group Volume Function, GA, Multi-Dimensional

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