Network coding optimization of particle swarm optimization algorithm based on Boolean
Ying Gao · Jisuanji gongcheng yu sheji · 2012
Boolean type particle swarm optimization algorithm existing easy to fall into local extremum and slow convergence speed,an improved Boolean type particle swarm optimization algorithm is proposed,which with disturbance factor and adaptive adjustments the probability take 1 in inertia and learning factor,then the improved Boolean type particle swarm optimization algorithm is used for network coding optimization to get with the lowest coding edge coding scheme.The results of two artificial topology optimization show that Boolean particle swarm optimization scheme to minimize edge coding speed and accuracy are superior to the minimize edge scheme of the program code based on genetic algorithm,the formers is effectively used to network coding optimization.