基于遗传算法的B细胞高频变异方法

Method of B Cell's Hypermutation based on Genetic Algorithm

在机体免疫系统中,B淋巴细胞和T淋巴细胞协同起来识别抗原。B细胞在初次识别到抗原后,以较高的概率进行变异和自我复制,形成新的识别能力,使得免疫系统具有更高的适应性。然而,B细胞在变异和自我复制的过程中,多数变化会导致更弱或者非功能性抗体,使免疫系统开销增大,效率降低。本文提出一种基于遗传算法的B细胞高频变异方法,很好地克服了该问题。

The biological immune system employs B-cell and T-cell in detecting antigen. After detecting antigen successfully at the first time, B-cells copy and mutate themselves with high probability. However, in the process of mutation and copy, most changes will make the new B-cells become more weak or produce non-functionality antibody, then the system will be huge spending and inefficient. This paper presents a method of B-cell＇s hypermutation based on genetic algorithm ,hat can resolve the problem.