The Application of Culture Particle Swarm Optimization in Frequency Distribution

Abstract

With the development of communication field in recent years, the demand of TV, mobile phone GPS, and so on is increasing rapidly, the electromagnetic environment is becoming more and more complex, and the problem of spectrum shortage is becoming more and more prominent. In the military field, the modern warfare has evolved into the electronic warfare, electronic defense, electronic interference, and other commonly used tactics become the main means of warfare, if the spectrum resources are not properly managed to allocate, it will lead to the failure of their own equipment interference, loss of battlefield information, leading to the failure of war. Therefore, it is urgent to solve the problem of how to take rational management and distribution of spectrum resources. For the problem of frequency allocation in fixed frequency system, considering the shortcomings of the previous heuristic algorithms (genetic algorithm, particle swarm algorithm, etc.) which are simply evolving in population space, this paper presents a culture particle swarm optimization algorithm based on the culture algorithm of the two-layer evolutionary model, and proves that the method has better performance by simulation.