人工生命免疫模型及其应用研究

The object of this project was to research and design artificial immune models, algorithms and their applications, thereby to explore the relative designing theories and methods for novel computational intelligence systems. Considering the serious network security crisis, based on the research work about artificial immune models and algorithms, the project group paid much attention to immune-based anti-virus and intrusion detection algorithms, models and systems. At the same time, the adaptive controlling mechanism for robots was done.The main research results included: (1) a serial of algorithms based on biological immune system was proposed, such as Immune Genetic Algorithm (IGA), Immune Network Regulation Algorithm (INRA), Immune Algorithm Based on Immune Recognition (IAIR), Immune Response Solution Mechanism (IRSM), and so on. A serial of high quality papers based on these algorithms was published. (2) An intrusion alarming system based on artificial immune model was established and passed the evaluation organized by Anhui Provincial Department of Science and Technology. (3) Aiming at Macro Virus, a unknown-virus recognition system based artificial immune model was established. (4) A controlling algorithm based on immune principles for self-organized robots was proposed..The research area of this project belongs to the interdisciplinary study of life science and computer science. This project's research work not only has much theoretical and practical significance for solving the important national economic problems, but also can drive and develop the relative disciplines very much.

本项目旨在把生命科学和计算机科学密切结合交叉，建立基于生物免疫机制的人工生命免疫模型，探索人工免疫模型在机器人控制和防止计算机和计算机网络病毒方面的应用。该研究对促进计算智能的发展，开拓新型智能信息处理系统的设计理论和方法，具有重要的理论意义和学术价值。对于解决国民经济和社会发展中的众多科技问题具有引人注目的应用前景。