Network coding link optimization problems based on genetic and particle swarm algorithm

Considering a multicast scenario, we want to minimize the coding nodes used for network coding while achieving the desired throughput. By using the genetic and particle swarm algorithm, this article solves the optimization of the network coding. According to the simulation results, it can be concluded that the genetic and particle swarm algorithm has faster convergence speed than the genetic algorithm in solving the problem of network coding optimization, and it can get better suboptimal value in a shorter period of time.