Optimization of cognitive users-effective throughput based ondifferential evolution algorithm
基于差分进化算法的认知用户有效吞吐量优化

According to the problem of the slow convergence speed and the requirements of real-time unable to be met in the method of the study about the balance of perception of time and the effective throughput, this paper put forward a differential evolution algorithm to optimize effective throughput. This method achieved the purpose that optimal perceptual time could be quickly found and cognitive user throughput reached the maximum in the fixed frame length by using the advantages of differential evolution algorithm with fewer parameters, simple operation operators, the global searching ability and fast convergence. The experimental result shows that under the same conditions, the effective throughput is close to the theoretical precision value and the algorithm's convergence speed is faster because of the use of differential evolution algorithm.