By analyzing the required of users and the characters of test paper construction for intelligent composing test paper, a new bi-objective constraint optimization model and the solving genetic algorithm are proposed. The computation stimulation results show that the new method have the characteristics such as high mission success rate、fast convergence rate、high search precision and strong robustness.
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刘淳安. 智能组卷的优化模型及求解的遗传算法[J]. 科学技术与工程, 2010, (30): . liuchun-an. New Optimization Model and Solving Genetic Algorithm for Intelligent Composing Test Paper[J]. Science Technology and Engineering,2010,(30).