作　　者： ; ; ; ;

机构地区： 深圳信息职业技术学院

出　　处： 《计算机工程与应用》 2012年第28期234-239,共6页

摘　　要： 针对污水生化处理过程,设计了一种新型算法。以粒子群算法对控制过程进行寻优,利用粒子群的快速搜索能力,保证了寻优速度;以混沌序列对粒子群进行初始化,提高了初始粒子群的质量,促进粒子群快速寻优;以免疫算法对粒子群进行克隆、变异及抑制,保证了粒子群的多样性,提高了粒子群的全局寻优能力,克服了粒子群的早熟问题。仿真结果表明,该算法大大提高了优化的性能和质量,在保持出水水质符合标准的前提下使污水处理的经济成本达到最优。 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 im- mune 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 algo- rithm 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.

关 键 词： 粒子群 混沌序列 免疫 污水处理

领　　域： [自动化与计算机技术] [自动化与计算机技术]