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

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, J. Shi, J. Liu, Y. Li, "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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$32.00
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