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
ISSN2297-8941
AutoresZhi Feng Liu, Shi Ji, Jia Liu, Yang Li,
Tópico(s)Power Systems and Technologies
ResumoTest 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.
Referência(s)