Estimating the detector coverage in a negative selection algorithm

This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set’s capability to detect nonself data. This novel method has the advantage of statistical confidence in the estimation of the actual coverage. Furthermore, unlike the existing analysis works of negative selection, it doesn’t depend on specific detector representation and generation algorithm. Not only can it be implemented as a procedure independent from the steps to generate detectors, the experiments in this paper showed that it can also be tightly integrated into the detector generation algorithm to control the number of detectors. Keywords negative selection, detector coverage, hypothesis testing

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Zhou Ji, Dipankar Dasgupta
• Keywords: Detector, Detector Coverage, GECCO 2005, Negative Selection