异步串行网络的比例引导优化通信方法研究  

Study on Proportional Guidance and Optimization Communication Method of Asynchronous Serial Network

作　　者：由扬[1] 

机构地区：[1]长春理工大学光电信息学院,吉林长春130000

出　　处：《计算机仿真》2015年第11期212-215,共4页Computer Simulation

摘　　要：异步串行网络通信过程中,大量的串行网络站点和大规模的待处理信息存在无序性,缺少正确的引导通信过程使得传统的串行网络通信存在较大盲目性,在缺少引导的环境中,数据通信混乱,无法有序的完成长串数据通信,传输速率降低。提出基于免疫遗传算法的异步串行网络的比例引导优化通信方法。建立费用满意度函数、时延满意度函数、可靠性满意度函数以及综合满意度函数,构建异步串行网络的比例引导优化通信的满意度模型,对适合度函数进行评价,同时通过加入函数的传递性来对运算过程进行简化,在保证算法收敛精度的同时减少算法耗时。实验结果表明,采用改进算法进行异步串行网络通信的比例引导优化,能够提高系统处理效率,提高网络性能,具有优越性。In the process of asynchronous serial network communication, a large number of serial network websites and large-scale information needed to be processed are disorder, it lacks correct guidance communication process. A proportional guidance and optimization communication method of asynchronous serial network was proposed based on immune genetic algorithm. The cost satisfaction function, delay satisfaction function, reliability satisfaction function and comprehensive satisfaction function were established. The satisfaction degree model for the proportional guidance and optimization communication of asynchronous serial network was constructed to evaluate the fitness function. At the same time, through adding the transmissibility of the function, the operation process was simplified to reduce the time consuming of the algorithm in the premise of the accuracy of algorithm convergence. Experimental results show that the improved algorithm can increase the efficiency of the system processing and the performance of the network.

关 键 词：异步串行网络通信 比例引导优化 免疫遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]