EvoSeedRNSAII: An improved evolutionary algorithm for generating detectors in the real-valued Negative Selection Algorithms
In the previous work, a detector generation algorithm, named as the EvoSeedRNSA, is proposed. A genetic algorithm is adopted in the EvoSeedRNSA to evolve the random seeds to generate an approximately optimal detector set. This paper proposes an improved EvoSeedRNSA, named as the EvoSeedRNSAII, to ge...
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Published in | Applied soft computing Vol. 19; pp. 18 - 30 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.06.2014
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Subjects | |
Online Access | Get full text |
ISSN | 1568-4946 1872-9681 |
DOI | 10.1016/j.asoc.2014.01.025 |
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Summary: | In the previous work, a detector generation algorithm, named as the EvoSeedRNSA, is proposed. A genetic algorithm is adopted in the EvoSeedRNSA to evolve the random seeds to generate an approximately optimal detector set. This paper proposes an improved EvoSeedRNSA, named as the EvoSeedRNSAII, to generate a more efficient detector set. A multi-group random seed encoding scheme is designed to represent the individuals and different detector generation sequences are discussed. The experiments demonstrate that the EvoSeedRNSAII has a better performance than the EvoSeedRNSA. |
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ISSN: | 1568-4946 1872-9681 |
DOI: | 10.1016/j.asoc.2014.01.025 |