Border Gateway Protocol (BGP) is a widely used routing protocol in the new era for the inter-communication between the multiple autonomous systems and it has been largely on the internet in all categories of the scalable network. In the event of failure, the BGP as an inter-domain routing protocol shows slow convergence, which results in high considerable delay in several internet/web applications. The minimum route advertisement interval (MRAI) timers are mostly used by network operators to reduce the issues occurring at the time of increasing convergence time. Many researchers have been working on variation in MRAI timer and effect of it on scalability and network convergence. The increasing size of a network leads to an increase in the value of MRAI timers. Hence, keeping the value of MRAI timers optimum results in reducing the issue of slow convergence for the scalable network. The proposed system (FAPSO) reduces the problem of convergence time by incorporating fuzzy logic into Particle Swarm Optimization (PSO) algorithm for the scalable network. In comparison with the static value of MRAI timer i.e., 30 s, FAPSO is a suitable algorithm that gives the optimal value of convergence time for the scalable network.

边界网关协议（BGP）是新时代中用于多个自治系统之间相互通信的一种广泛使用的路由协议，并且它已广泛存在于Internet中的所有可扩展网络类别中。在发生故障的情况下，作为域间路由协议的BGP收敛缓慢，这会在多个Internet / Web应用程序中造成很高的延迟。网络运营商通常使用最小路由通告间隔（MRAI）计时器来减少在收敛时间增加时发生的问题。许多研究人员一直在研究MRAI计时器的变化及其对可扩展性和网络融合的影响。网络大小的增加导致MRAI计时器的值增加。因此，保持MRAI计时器的最佳值可以减少可伸缩网络收敛缓慢的问题。所提出的系统（FAPSO）通过将模糊逻辑纳入可扩展网络的粒子群优化（PSO）算法中，减少了收敛时间的问题。与MRAI计时器的静态值（即30 s）相比，FAPSO是一种合适的算法，它为可伸缩网络提供了最佳收敛时间值。