Research on Computer Intelligent Test Paper Composition Based on Genetic Algorithm
- DOI
- 10.2991/icmmita-15.2015.190How to use a DOI?
- Keywords
- test paper composition; genetic algorithm; selection; crossover; mutation
- Abstract
The test paper composition is an important part of the exam, how to choose an efficient, scientific and rational way, can ensure test papers the greatest extent possible to meet the different needs of users, and random, science, rationality and other characteristics, it is very critical. Aiming at the limitations of the traditional method of generating test paper problem, this paper uses genetic algorithm of generating test paper. Firstly, the mathematical model of the generating test paper algorithmic; then, through a graphical illustration of the basic principles of genetic algorithms; then studied the application of genetic algorithm in intelligent test paper composition and illustrates the main steps of intelligent test paper composition; Finally, genetic manipulation of intelligent test paper composition, continue to carry out individual fitness evaluation, selection, crossover and mutation until the search for the optimal solution or satisfactory solution. Using the genetic algorithms for intelligent test paper composition, it reduces the workload of teachers, to promote scientific and standardized test management has important practical value.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liming Wang PY - 2015/11 DA - 2015/11 TI - Research on Computer Intelligent Test Paper Composition Based on Genetic Algorithm BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1029 EP - 1034 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.190 DO - 10.2991/icmmita-15.2015.190 ID - Wang2015/11 ER -