构造动态系统异常行为识别器的遗传算法

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI:10.1109/BICTA.2010.5645318

D. Kovalenko, V. Kostenko

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引用次数: 5

摘要

本文研究了复杂动力系统异常行为识别器的自动构造问题。有关系统行为的信息以从系统周围的传感器获得的多维轨迹(时间序列)的形式提供。该问题的一个具体特征在于，根据系统的个别性质及其运行条件，包含异常的轨迹可能在振幅和长度上彼此有很大差异。这里描述的遗传算法允许构造复杂动力系统异常行为的识别器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A genetic algorithm for construction of recognizers of anomalies in behaviour of dynamical systems

In this paper, the problem of automatic construction of recognizers of anomalies in behaviour of complicated dynamical systems is considered. Information about system behaviour is available in a form of multidimensional trajectories (time-series) obtained from sensors surrounding the system. A specific feature of the problem consists in the fact that, depending on the individual properties of the system and conditions of its operation, trajectories that contain anomalies may significantly differ from each other in amplitude and length. The genetic algorithm described here allows to construct recognizers of abnormal behaviour of complicated dynamical systems.

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来源期刊

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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