会议专题

Optimization Research of Distributed Fusion System

Now, the SOFF or SFFO ways are generally used to optimize the distributed fusion systems. It can only obtain PBPO Solutions which is suboptimal algorithm. Moreover, the computing is complicated and the corresponding results intensively depend on the initial value. By the study of initial results influence on fusion system, we propose a simultaneous optimization algorithm which is based on ant colony algorithm. As the algorithm not only optimizes the fusion rule of system and decision rules of part, but also doesnt depend initial results. Therefore its a global optimization algorithm. The results of value tests indicate that the selection of initial value influences the fusion system on large. As independent on the initial value, this algorithm is better than others on performance optimization, undoubtedly, this method proposed in this paper has some reference value on this issue.

Distributed Ant colony algorithm the Bayesian theory

Hu Xuehai Wang Houjun Ren Dairong

Automation Engineering School,University of Electronic Science and Technology of China,Chengdu 61173 Quality Department,Chengdu Aircraft Design & Research Institute (CADI)Chengdu 610041,China

国际会议

2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

成都

英文

409-413

2011-08-16(万方平台首次上网日期,不代表论文的发表时间)