An improved quantum artificial fish swarm algorithm for resource allocation in multi-user system

Through in-depth research and application, it is found that with the increasing number of artificial fish, required storage space also increasing, which finally leads to difficulty calculation, ability obtain accurate solutions seriously insufficient, only satisfactory solution domains can be obtained for system. Since development multi-user systems, there are still some problems in resource allocation, such as poor user fairness, low system throughput, security. In view appeal problem, we design a allocation scheme based on quantum fish swarm algorithm. Firstly, necessary analyze working principle system, establish mathematical model according its principle; Furthermore, through algorithm, integrate phase concept introduce evolutionary algorithm into use code improve it; Then, simulation experiments, compare other types schemes market, process experimental results; Finally, data, conclusion drawn improved school accurately quickly optimal scheme, certain extent, ensure communication Compared schemes, overall performance more outstanding.