基于遗传算法的网络通讯优化技术

Network communication optimization technology based on genetic algorithm

针对网络通讯任务数量增多时,传统技术存在任务分配不均衡的问题,文中提出了基于遗传算法的网络通讯优化技术。该技术首先分析了影响网络通讯任务分配均衡的因素,将通信延迟小、耗能小与任务分配均衡作为分配目标,以多目标优化来设计目标函数。同时将遗传算法改进,引入正反馈机制,避免了局部最优解,并提高算法优化速率。测试与试验结果表明,与传统的网络通信任务分配技术相比,文中所提出的优化技术可有效提高网络通信任务分配的均衡性。

In view of the increase in the number of network communication tasks,the traditional technology has the problem of uneven task distribution.a network communication optimization technology based on genetic algorithm is proposed in this paper.At first,the factors are analyzed that affect the balance of network communication task distribution,takes small communication delay,small energy consumption and task distribution balance as the distribution goals,and the objective function with multi-objective optimization is designd;At the same time,the genetic algorithm is improved and a positive feedback mechanism is introduced to avoid the local optimal solution and improve the algorithm optimization rate.After testing,compared with the traditional network communication task distribution technology,the technology described in this article can effectively improve the balance of network communication task distribution.