论文部分内容阅读
在计算机网络可靠度优化计算过程中,遗传算法以其自身简单的算法结构,高超的搜索效率,迅捷的求解速度和强大的实用性在全局计算中获得最优解的近似值,相对于传统算法,遗传算法在网络可靠度优化计算问题上有着明显的优势,计算速度得到前所未有的加快,计算效果因而得到有效优化,操作性能也大大提高。另外,遗传算法可以有效地完成降低网络成本的重要目标,并且在原有基础上将网络可靠度进一步提高,同时兼顾链路的介质成本问题、数学模型求解等问题。对计算机可靠度优化计算中遗传算法的有效应用问题进行分析与论证。
In the process of computer network reliability optimization, genetic algorithm obtains the approximate value of the optimal solution in global computation with its simple algorithm structure, super search efficiency, quick solution speed and strong practicability. Compared with the traditional algorithm, Genetic algorithm has obvious advantages in network reliability optimization calculation, the calculation speed is faster than ever before, and the calculation results are effectively optimized and the operation performance is greatly improved. In addition, the genetic algorithm can effectively accomplish the important goal of reducing the network cost, and further improve the network reliability on the basis of the original, while taking into account the media cost of the link and solving the mathematical model. Analysis and demonstration on the effective application of genetic algorithm in computer reliability optimization calculation.