基于新型免疫算法的污水处理过程最优控制

Optimal Control of Wastewater Treatment Process Based on Novel Immune Algorithm

为提高抗体群分布的多样性,采用抗体浓度与适应度矢量距离相结合的策略,设计了一种新型的免疫选择算子.为了提高搜索效率,将变尺度方法引入到混合变异中,得到了一种变尺度混合变异算子,并对其收敛性、稳定性和复杂度进行了分析.同时将该算法应用到污水处理过程运行费用的最优控制中,结果表明该方法是有效的,并且具有可靠的全局收敛性及较快的收敛速度.

In order to improve the distribution diversity of antibodies, a novel immune selection operator combining the antibody concentration and the sufficiency vector distance is proposed, and a scale-variable hybrid mutation operator, which introduces the mutative scale method in the hybrid mutation, is designed to improve the search efficiency. The convergence, stability and complexity of the algorithm are then analyzed, and an optimal control of operation cost is performed with the algorithm for wastewater treatment. Experimental results indicate that the proposed method is of high effectiveness, global convergence reliability and velocity.