LNCS 2787 A Randomized Real Valued Negative Selection Algorithm 1st Edition by Fabio González, Dipankar Dasgupta, Luis Fernando Niño ISBN 3540451927 9783540451921

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Product details:

ISBN 10: 3540451927

ISBN 13: 9783540451921

Author:  Fabio González, Dipankar Dasgupta, Luis Fernando Niño 

LNCS 2787 – A Randomized Real-Valued Negative Selection Algorithm 1st Edition: 

This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space, and the maximization of the non-self coverage is done through an optimization algorithm with proven convergence properties. The proposed method is a randomized algorithm based on Monte Carlo methods. Experiments are performed to validate the assumptions made while designing the algorithm and to evaluate its performance.

 

LNCS 2787 – A Randomized Real-Valued Negative Selection Algorithm 1st Edition Table of contents:

1 Introduction

2 Randomized Real-Valued Negative Selection Algorithm (RRNS)

• 2.1 Determining the Number of Detectors
• 2.2 Improving the Detector Distribution

3 RRNS Experimentation

• 3.1 Overlapping vs Non-Self Coverage
• 3.2 RRNS vs RNS

4 Conclusions

 

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