Research on intelligent auto-generating test paper algorithm based on gene expression programming
Konferenz: BIBE 2019 - The Third International Conference on Biological Information and Biomedical Engineering
20.06.2019 - 22.06.2019 in Hangzhou, China
Tagungsband: BIBE 2019
Seiten: 5Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Bi, Bo; Han, Xiao; Lu, Yang (School of Mathematics and Statistics, Northeast Petroleum University, Daqing, China)
Tang, Jinping (School of Data Science and Technology, Heilongjiang University, Haerbin, China)
Auto-generating test paper intelligently is an important problem in electronic education. This paper analyses the constraint conditions of the auto-generating test paper, and establishes the mathematical models. A new intelligent algorithm based on gene expression programming is proposed and used for test paper auto-generating. By introducing appropriate genetic operators and linear fixed length coding, it avoids the premature during iteration. The result of experiments shows that the new algorithm is more efficient compared with other algorithms and can successfully generate test papers that meets the requirements.