Application of Improved Genetic Algorithm in Reliability Optimization of Multi-agent Intrusion Detection

摘要：

　　Detection agents in a dynamic network environment has difficult to optimize the reliability,and this problem is a typical Nondeterrrinistic Polynomial Completeness puzzle.This paper proposed an improved genetic algorithm to solve the optimization problem,conscientiously introduced the greedy algorithm,and therefore better improved the efficiency of algorithm optimization algorithms in the optimization process.First,construct a mathematical model,multi-agent intrusion detection system between agents as the in itial parameters.Then,use the im proved genetic algorithm to optimize the model obtained optimal solution to complete optimization objectives.

关键词： Improved Genetic Algorithm Reliability Optimization of Multi-agent Intrusion Detection Application

作者: Shaokun Liu Lina Yu Yi Fang

作者单位: Hebei College of Industry and Technology,Department of Computer Technology Shijiazhuang,China Liao Cheng Electric Power Supply Company Limited Customer Center of Dong Chang Liaocheng,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 2317-2320

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）