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Strategy and Applied Research of Multi-Constrained Model of Automatic Test Paper Based on Genetic Algorithm

2010; Trans Tech Publications; Volume: 37-38; Linguagem: Inglês

10.4028/www.scientific.net/amm.37-38.1223

2297-8941

Zhi Feng Liu, Shi Ji, Jia Liu, Yang Li,

Power Systems and Technologies

Test paper problem is a typical multi-constrained objective optimization problem. By using genetic algorithm, this paper analyzes the initial population generation, the chromosome coding and its genetic manipulation, control parameters. Solving that by natural-coded genetic algorithm, improves test paper success rate and convergence rate. This genetic algorithm is applied successfully on NHibernate architecture, and developed "automatic test paper" Online Examination system.