A cooperative immune network algorithm used for virus detection is proposed ,in which detectors are optimized through cooperation and incentive between different kinds of immune cells .The non-self set is introduced ,and mature detectors are selected and cloned according to the fitness between detectors and non-self set to enhance the incentive for antibodies .The mutation step is updated by the generation number of evolution to change the mutation way of mature detectors adaptively .Furthermore ,the network suppression strategy based on concentration partition is proposed according to the incentive between antibodies and antigens in the entire immune network .Experimental results show that the proposed algorithm can increase the diversity of detectors ,and im-prove the virus detection ability of the entire immune network effectively .%提出一种用于病毒检测的协作免疫网络算法，通过不同类型免疫细胞之间的激励与协作优化免疫网络中的检测器。算法引入非我集，通过成熟检测器对非我集的适应度对成熟检测器克隆选择，加强对抗体的激励作用；通过进化代数更新变异步长来自适应的改变成熟检测器的变异方式；并根据整个免疫网络中抗原对抗体以及抗体之间的激励作用提出基于浓度分区的网络抑制策略。实验结果表明，算法通过增加记忆检测器的多样性，有效地提高了免疫网络的病毒检测能力。
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