摘要
利用分布式多真体(Agent)系统的鲁棒性归约模型,将分布式人工免疫系统看作理想的分布式多真体系统,从而把分布式人工免疫系统的鲁棒性分析问题归约为其各个相对独立的模块的鲁棒性分析问题。人工免疫系统包括正常模型建模模块、自体/异体检测模块、已知异体识别模块、未知异体学习模块、异体消除模块和受损系统修复模块。用问题归约法分析人工免疫系统的鲁棒性后,建立人工免疫系统的鲁棒性归约模型,用各个模块的鲁棒性判据和模块之间免疫控制过程的鲁棒性判据表示分布式人工免疫系统的鲁棒性判据。经定理证明,鲁棒性归约模型能分解和简化分布式人工免疫系统的鲁棒性分析问题,通过各个模块的鲁棒性分析问题求解实现该问题的最终求解。因此,分布式人工免疫系统的鲁棒性归约模型是有用的鲁棒性分析工具,为复杂人工免疫系统的鲁棒性分析提供了有效的方法。
With the model of reducing robustness of distributed multi-agent system, the distributed artificial immune system was regarded as an ideal distributed multi-agent system, so the robustness analysis problem of the distributed artificial immune system was reduced into the robustness analysis problems of all the independent modules of the system. The artificial immune system includes the module of modelling the normal model, the module of detecting sells and non-sells, the module of recognizing known non-sells, the module of learning unknown non-sells, the module of eliminating non-sells and the module of repairing the damaged system. After analyzing the robustness of the artificial immune system with the problem reduction method, the model of reducing robustness of the distributed artificial immune system was built. Proved by some theorems, the model of reducing robustness can reduce and simplify the robustness analysis problem of the distributed artificial immune system, and the problem can be solved after the robustness analysis problems of all the modules were solved. The results show that the model of reducing robustness of the distributed artificial immune system is a useful tool to analyze robustness, and it can provide an effective approach to analyzing robustness of complex artificial immune system.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第5期956-961,共6页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(60234030
60404021)
关键词
分布式人工免疫系统
问题归约法
鲁棒性
模块
distributed artificial immune system
problem reduction method
robustness
module
