改进粒子群算法在智能组卷系统中的应用  

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

作　　者：吕健[1] 

机构地区：[1]武汉铁路职业技术学院,武汉430063

出　　处：《现代计算机》2008年第7期109-111,125,共4页Modern Computer

摘　　要：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。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.

关 键 词：组卷算法 粒子群算法(PSO) 多目标优化 灰色关联度 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]