基于二进制烟花优化算法的认知无线网络频谱分配.

According to the scarcity of wireless spectrum resources and low utilization rate, this paper presented a spectrum allocation method based on binary fireworks optimization algorithm. Each firework individual carried out distributed explosion search, and the method proposed an improved formula to update the explosion radius of the optimal fireworks dynamically. For the lack of information exchange between particles in the variation process, the algorithm introduced the crossover operator and mutation operator of the genetic algorithm to further enhance the population diversity. In order to avoid falling into a local optimum, the algorithm used simulated annealing with Metropolis criterion to perturb the selected optimal individuals. The simulation experiment shows that the method has the characteristics of high optimization accuracy and high convergence speed . It can achieve the maximization of the network efficiency and the proportional fairness among different users. [ABSTRACT FROM AUTHOR]