The genetic algorithm in the test paper generation

  • Authors:

  • Jian-Jun Hu;Yue-Hong Sun;Qing-Zhen Xu

  • Affiliations:

  • School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China;School of Computer, South China Normal University, Guangzhou, China;School of Computer, South China Normal University, Guangzhou, China

  • Venue:
  • WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
  • Year:
  • 2011

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Abstract

Genetic Algorithm has the dynamic performance and the auto adaptability. The algorithm can search the solution glibly and include the operation of coding, selection, intercross, mutation of the chromosome. The search starts from an initial cluster and reduces the probability of falling in local optima. In the test paper auto-generation, it can satisfy the requirement of the test paper generation system, improve the quality and efficiency of extracting the subjects from the test bank.