Design on Generating Test Paper Based on Simulated Annealing Algorithm

DOI

10.2991/cmes-15.2015.186How to use a DOI?

Keywords

genetic algorithm, simulated annealing algorithm, mathematical model, premature.

Abstract

This paper introduces the simulated annealing algorithm to optimize test paper problem based on the standard genetic algorithm. Firstly, its mathematical model was established in the light of more constraints while generating test paper. In the calculation, these six attributes are needed to consider, they are the score, type, difficulty, knowledge, chapter and time; secondly, describing the simulated annealing algorithm; finally, the four management modules of test paper system were described in detail. In order to avoid the premature shortcoming of genetic algorithm, you can use simulated annealing algorithm to stretch individual papers. The algorithm has a higher significance in solving practical problems in learning activities, which is worth promoting the use.

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/).

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TY  - CONF
AU  - Jun Yang
PY  - 2015/04
DA  - 2015/04
TI  - Design on Generating Test Paper Based on Simulated Annealing Algorithm
BT  - Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
PB  - Atlantis Press
SP  - 689
EP  - 693
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmes-15.2015.186
DO  - 10.2991/cmes-15.2015.186
ID  - Yang2015/04
ER  -