改进粒子群算法在智能组卷系统中的应用

计算机智能组卷是近年来计算机在辅助教学中的一个重要应用,计算机智能组卷作为一种多目标求解的优化组合问题.提出基于灰色关联度分析的改进粒子群算法应用于自动组卷问题,并进行了仿真实验.仿真结果表明,此算法能够成功应用于自动组卷,组卷速度快、成功率高.

Application of Improved PSO in Intelligent Test Paper Auto-Generation System

Computer intelligent test paper is in the computer-aided teaching in recent years as an important application, computer intelligent test paper as a goal to solve the problem of portfolio optimization. Proposes to apply improved particle swarm algorithm auto-generation test paper problem, and makes a experiment and simulation. Simulation results show that this algorithm can be applied successfully to automatically test paper, can get fast test paper speed, high success rate.