关键词: 粒子群, 混沌序列, 免疫, 污水处理

Abstract: Aiming at improving the defects of biological treatment process of wastewater, this paper proposes a new algorithm, which applies the particle swarm algorithm to control the optimization process to ensure the optimization speed with the use of particle swarm fast search capabilities; applies the chaotic sequence to initialize the particle swarm to improve the quality of the initial swarm and promote fast particle swarm optimization; and applies immune algorithm to the particle swarm with clone, mutation and suppression, to ensure the diversity, improve global optimization capability, and overcome the premature of the particle swarm. Simulation results show that the algorithm greatly improves the performance and quality of the optimization process, while maintaining the water quality standard under the premise of the economic costs of the wastewater treatment optimal.

Key words: particle swarm, chaotic sequence, immune, wastewater treatment