摘要
仿真模型的优化是仿真模型构建工作的重要组成部分。通过引入模型单元关联度的概念对传统模型约简算法进行改进,提出了一种基于模型单元关联度的遗传-粗糙集理论的仿真模型优化算法,很好地改善了聚合仿真模型的计算复杂度问题,并通过实例验证了算法的实用性。
Optimization of the simulation model is an important part of the aggregation simulation model building. The concept of the model element correlation was introduced and the reduction algorithm for the model based on the genetic-rough set algorithm was designed, as well as to improve the computational com- plexity problem of aggregation simulation model. The algorithm design and implementation process were described in this paper, then the correctness of the algorithm was described. At last, applicability of this algorithm was proved by an example.
出处
《四川兵工学报》
CAS
2015年第10期90-94,共5页
Journal of Sichuan Ordnance
关键词
聚合仿真模型
模型优化
约简算法
遗传-粗糙集理论
aggregation simulation model
model optimization
reduction algorithm
genetic-rough set theory
