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In this paper, we introduce an Intrusion Detection system (IDS) based Hybrid Evolutionary Neural Network (HENN). A brief overview of IDS, genetic algorithm, and related detection techniques are discussed. The system architecture is also introduced. Factors affecting the genetic algorithm are addressed in detail. Unlike other implementations of IDS, Input features, network structure and connection...
Genetic Programming is a kind of searching technique, which is intelligent, and it works by emulating natural evolution. The intelligent modeling technique based on genetic programming can recognize the relationship between the inputs and outputs of a complex system, and it has ascendeny of searching out the frame and the parameters of the system at the same time and the searching results are explicit...
The performance of genetic algorithms (GAs) is dependent on many factors. In this paper, we have isolated one factor: the crossover operator. Commonly used crossover operators such as one-point, two-point and uniform crossover operator are likely to destroy the information obtained previously because of their random choices of crossover points. To overcome this defect, RSO, a new adaptive crossover...
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