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

被引：0
|
作者：
Liu, Shaokun [1 ]
Yu, Lina [1 ]
Fang, Yi [2 ]
机构：
[1] Hebei Coll Ind & Technol, Dept Comp Technol Shijiazhuang, Shijiazhuang, Peoples R China
[2] Liao Cheng Elect Power Supply Co Ltd Customer Ctr, Dong Chang Liaocheng, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词：
Improved Genetic Algorithm; Reliability Optimization of Multi-agent Intrusion Detection; Application;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Detection agents in a dynamic network environment has difficult to optimize the reliability, and this problem is a typical Nondeterministic 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 initial parameters. Then, use the improved genetic algorithm to optimize the model obtained optimal solution to complete optimization objectives.
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页数：4
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