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论文对计算机免疫学中Self集的物理空间分布和识别器的构造进行了探讨性的分析,并针对传统方法识别效果差、缺乏灵活性等缺点,提出了一种基于遗传算法的具有空间自适应能力的识别器构造方法,并通过实验比较了该算法与传统识别器构造算法的效果。
In this paper, we discuss the physical distribution of Self set and the construction of recognizer in computerimmunology. In view of the shortcomings of poor recognition and lack of flexibility in traditional methods, this paper proposes a genetic algorithm with space adaptive Ability recognizer construction method, and the effect of the algorithm and the traditional recognizer construction algorithm is compared by experiments.