Artigo Revisado por pares

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

ISSN

2297-8941

Autores

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

Tópico(s)

Power Systems and Technologies

Resumo

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.

Referência(s)
Altmetric
PlumX