Research on Structure Learning of Dynamic Bayesian Networks by Particle Swarm Optimization

@article{Heng2007ResearchOS,
  title={Research on Structure Learning of Dynamic Bayesian Networks by Particle Swarm Optimization},
  author={Xingchen Heng and Zheng Qin and Tian Lei and Li-Ping Shao},
  journal={2007 IEEE Symposium on Artificial Life},
  year={2007},
  pages={85-91}
}
A new approach to learning structure of dynamic Bayesian networks (DBNs) is proposed in this paper. This approach is based on particle swarm optimization (PSO) algorithm. We start by giving a fitness function based on expectation to evaluate possible structure of DBNs by converting incomplete data to complete data using current best DBN of evolutionary process. Next, the definition and encoding of the basic mathematical elements of PSO are given and the basic operations of PSO are designed… CONTINUE READING