A model for allocation and optimization of reliability complex network using Particle Swarm Optimization and Genetic Algorithms.

The reliability of computing the Complex Network using probability theory as a complex system is the main topic of this paper. The reliability assignment and optimization issue was dealt with using the Genetic Algorithm (GA), which has the ability to deal with complex issues that are typical in engineering systems. A higher number of duplicates are frequently necessary when the cost of execution is significant. In addition to GA, we use the particle swarm optimization (PSO) technique. This method is based on how accumulating organisms behave. In order to compare the resilience and durability of the algorithms that aid in determining the fitness of a particular system, two algorithms will be used in this paper. [ABSTRACT FROM AUTHOR]