摘要
通过对粒子群优化算法和智能组卷策略的研究,建立了组卷的数学模型,阐述了基本粒子群优化算法的主要思想,提出了改进的粒子群优化算法适应度函数的设计方法和粒子迁移算法,实现了将一次多目标组合优化问题转换为多次单目标组合优化问题。
The research of particle swarm optimization algorithm and intelligent test paper generation gives mathematical model for test paper generation, and introduces the main idea of the basic particle swarm optimization algorithm. It also presents the design of fitness function of improved particle swarm optimization algorithm and the algorithm of particle motion, thus realizes the conversion from one-time multi-object combinatorial optimization to many -time single object combinatorial optimization.
出处
《三明学院学报》
2009年第4期403-406,共4页
Journal of Sanming University
关键词
粒子群优化算法
智能组卷
多目标组合优化
particle swarm optimization algorithm
intelligent test paper generation
multi-object combinatorial optimization
