Evolving the Detection Rule of Feature Interaction by Genetic Algorithm

WEI Wei; YANG Fang-chun

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Evolving the Detection Rule of Feature Interaction by Genetic Algorithm

更新时间：2025-07-16

- Evolving the Detection Rule of Feature Interaction by Genetic Algorithm
- Acta Electronica Sinica Vol. 35, Issue 4, Pages: 634-639(2007)
- 作者机构：
  
  北京邮电大学网络与交换国家重点实验室,北京,100876
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN915.5
- Published：2007
- 稿件说明：
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WEI Wei, YANG Fang-chun. Evolving the Detection Rule of Feature Interaction by Genetic Algorithm[J]. Acta Electronica Sinica, 2007, 35(4): 634-639.
DOI：

WEI Wei, YANG Fang-chun. Evolving the Detection Rule of Feature Interaction by Genetic Algorithm[J]. Acta Electronica Sinica, 2007, 35(4): 634-639. DOI：

摘要

完备和正确的检测规则是业务冲突管理器在线检测冲突时提高检测率的关键.该文借鉴遗传算法的随机搜索能力提出一种冲突检测规则进化算法

通过加入已知冲突信息的指导和以概率递减选择新业务参与变异的方式提高系统进化速度

对检测规则集进行优化降低系统时间和空间复杂度.实验证明此算法提高了系统检测率.

Abstract

The completeness and correctness of detection rule set are key points to enhance the real-time detection rate of the feature interaction manager (FIM).Based on the random search capability of the genetic algorithm

an evolution algorithm of detection rule set is proposed.In the algorithm

the known interactions are added and the new services are selected to mutate by the degressive probability

which improve the evolution speed.Optimizing the detection rule set can reduce the time and space complexity.The experiment results show that the algorithm advances the performance of the FIM.

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