Algorithm of BN structural learning based on quantum genetic
Jianfei Li · Jisuanji yingyong yanjiu · 2008
The paper applied QGA to learn structures of a Bayesian network(BN).The chromosome was formed by quantum coding the structure of BN.It made this chromosome as a complete independent solution space to evolve by taking quantum variance operation.The finest network structure could be quickly found in this way.Experiment results show that it is more efficiently and precisely to learn Bayesian networks by QGA.