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

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng

Pages:

1223-1230

DOI:

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

Citation:

Z. F. Liu et al., "Strategy and Applied Research of Multi-Constrained Model of Automatic Test Paper Based on Genetic Algorithm", Applied Mechanics and Materials, Vols. 37-38, pp. 1223-1230, 2010

Online since:

November 2010

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Price:

$35.00

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