Multi-objective Optimization in the Application of the Teaching Evaluation System

被引:0
作者
Lang, Changsheng [1 ]
Li, Guangzheng [1 ]
Sun, Kan [1 ]
Zhao, Xiujuan [2 ]
机构
[1] Jiangxi Sci & Technol Normal Univ, Ctr Modern Educ Technol, Nanchang 330013, Peoples R China
[2] Jiangxi Sci & Technol Normal Univ, Inst Technol, Nanchang, Jiangxi 330013, Peoples R China
来源
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词
multi-objective optimization; data reduction; evaluation system; EVOLUTIONARY ALGORITHMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the data of the teaching evaluation system is optimized by multi-objective optimization to achieve the purpose of teaching evaluation. The data in the database is a significant reduction in the retrieval process by multi-objective. From the actual results, the data after the multi-objective optimization easy to teaching evaluation, to achieve the desired results.
引用
收藏
页码:2720 / 2723
页数:4
相关论文
共 10 条
[1]  
[Anonymous], 1975, Ann Arbor
[2]   On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining [J].
Cano, JR ;
Herrera, F ;
Lozano, M .
APPLIED SOFT COMPUTING, 2006, 6 (03) :323-332
[3]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[4]  
Deb K., 2010, MULTIOBJECTIVE OPTIM
[5]  
Goldberg EE., 1989, Genetic Algorithm in Searching, Optimization, and Machine Learning
[6]   Data reduction based on artificial immune system [J].
Gong, Mao-Guo ;
Hao, Lin ;
Jiao, Li-Cheng ;
Wang, Xiao-Hua ;
Sun, Yi-Fei .
Ruan Jian Xue Bao/Journal of Software, 2009, 20 (04) :804-814
[7]  
Gong Mao-Guo, 2009, Journal of Software, V20, P271, DOI 10.3724/SP.J.1001.2009.03483
[8]  
RS Rosenberg, 1967, THESIS U MICHIGAN MI
[9]  
Schaffer J. D., 1985, P 1 INT C GEN ALG GE, P93
[10]   Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach [J].
Zitzler, E ;
Thiele, L .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 1999, 3 (04) :257-271