Design on Generating Test Paper Based on Simulated Annealing Algorithm

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.