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Research on Intelligent Generating Test Paper Based on Parallel Genetic Algorithm

  • Jianjun Li
  • Meng Wang
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 115)

Abstract

The aim of test paper composing is to compose an optimization test paper that satisfies the parameters which the user inputs, so the test paper composing problem is a classical multi-objective linear programming problem. This paper proposes an intelligent algorithm to generating test paper based on Parallel genetic algorithm, and provides a set of schemes of making papers of different degree of difficulties display in normal distribution. The algorithm adopts a new decimal system of subsection code, improves the traditional method of initializing the population and optimizes course of search. The experiment proves that this algorithm has better performance thus is more practical.

Keywords

Parallel genetic algorithm artificial intelligence Intelligent Generating Paper 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Lushan CollegeGuangXi University of TechnologyLiuZhouChina
  2. 2.Department of Computer EngineeringGuangXi University of TechnologyLiuZhouChina

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