免疫调节优化算法及其对控制系统的参数估计

借鉴免疫系统中T细胞调节的思想、抗体重复变异的亲和成熟特征、小生境共享适应度方法及相关的免疫机制，提出一种适合于函数优化的新型智能优化算法。算法设计的关键在于利用T细胞调节机制动态调节参与变异的抗体数日，以及利用抗体亲和成熟特征设计自适应突变的算子模块；突出的优点为自适应能力强、寻优速度快、多途径产生进化群体及易于与相关算法融合。事例仿真效果论证了其可行性和有效性。

Immunoregulation Optimization Algorithm and Its Application to Parameter Identification of Control Systems

A novel intelligent optimization algorithm, suitable for function optimization problems, is proposed based on the ideas of T cell regulation, affinity maturation characteristics, the niche sharing fitness method, and some other immune mechanisms. The key of the algorithm is both to utilize T cell regulation mechanism for adjusting the size of antibodies participated in mutation, and design a self - adaptive mutation operator by using the affinity maturation mechanism. Its merits consist in strong adaptive capability, rapid search, generating evolutionary populations from multi - directions, and easy integration with other algorithms. Simulation shows it is feasible and efficient.