中文摘要：

生物免疫系统是一个复杂、并行、鲁棒的自适应系统，以其智能的信息处理能力而逐渐备受关注。为使研究人员能全面了解人工免疫常用算法原理及其应用和免疫系统与其他智能系统的交叉融合研究，以及由此建立的人工免疫系统模型、算法，在简述免疫系统生物学原理的基础上，概括了不同的免疫算法和各自的特性，总结了当前人工免疫系统与人工神经网络、进化算法、模糊系统的集成情况及工程应用现状。最后讨论TAT免疫系统面临的问题及未来发展趋势。

英文摘要：

：The biological immune system is a complex,parallel and robust adaptive system that is widely concerned for its intelligent in- formation processing capacity. In order to make researchers get a comprehensive understanding of commonly used algorithms and its ap- plications and the cross-integration with other intelligent systems, and thus created artificial immune system model and algorithm, on the basis of dascdbing the principle of the immune system, summarize the different immune algorithms and individual characteristics, and sum up the Artificial Immune System （AIS） integrations with artificial neural networks, evolutionary algorithms, fuzzy systems integration and engineering application status. Finally discuss the problems faced by the artificial immune system and its future trends.