系统工程与电子技术

• 可靠性 • 上一篇    下一篇

基于混合编码遗传算法的证据网节点可靠性评估

陈志刚1,2, 李贤2, 井沛良3, 徐世友3   

  1. 1. 中南大学软件学院, 湖南 长沙 410075;
    2. 中南大学信息科学与工程学院, 湖南 长沙 410083;
    3. 国防科学技术大学自动目标识别重点实验室, 湖南 长沙 410073
  • 出版日期:2015-06-20 发布日期:2010-01-03

Reliability evaluating of evidential network nodes with hybrid-code genetic algorithm

CHEN Zhi-gang1,2, LI Xian2, JING Pei-liang3, XU Shi-you3   

  1. 1. School of Software, Central South University, Changsha 410075, China; 2. School of Information Science and
    Engineering, Central South University, Changsha 410083, China; 3. Science and Technology on Automatic
    Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China
  • Online:2015-06-20 Published:2010-01-03

摘要:

证据网是一种基于D-S(Demspter-Shafer)理论层次化推广的推理模型,和D-S理论一样,当证据网中传感器节点不可靠时需要进行折扣(可靠性)处理。由于证据网是一种多层次的节点信息融合,折扣在不同融合层次传感器上,影响不同层次上的冲突,所以折扣的设置需全局考虑冲突情况。已有的可靠性评估方法是D-S理论中的评估,这些方法并不能保证在融合中全局的冲突最小,针对这一问题提出一种以减小全局冲突为目标使用混合编码遗传算法进行可靠性评估的方法。在仿真实验中通过与已有的可靠性评估方法进行比较,证明了该方法更能减小全局冲突,获得更好的结果。

Abstract:

Evidential Network is a reasoning model based on extending the Demspter-Shafer(D-S) theory, when the sensors node are unreliable, discounts(reliability) should be set at the nodes as in the D-S theory. Because the evidential network fuses the multiple echelons of information of nodes, the discounts of sensors are at the different fusion levels and take effect at the different fusion levels, the whole conflict should be taken into consideration when the discounts are set up. The existing ways of evaluating the reliability are used in the D-S theory, and they cannot ensure the minimum of the whole conflict when taking the fusing in the evidential network. In order to resolve the problem, the hybrid-code genetic algorithm is proposed to evaluate the reliability of evidential network nodes, with the aim of reducing the whole conflict. Compared with some other algorithms, the results prove that the proposed algorithm takes some advantages in reducing the conflict and finding a better result.