Intrusion detection method based on parallel multi-artificial bee colony algorithm and support vector machine
An artificial bee colony algorithm and support vector machine technology, applied in the field of network security, can solve problems such as ignoring the interdependence of SVM parameters and feature selection, and achieve the effects of overcoming slow convergence speed, accelerating algorithm convergence, and avoiding premature
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[0050] The technical solutions of the present invention will be described in detail below in conjunction with the drawings in the specific embodiments of the present invention.
[0051] The present invention first redesigns the original artificial bee colony algorithm, including: the design of the nectar source coding scheme, the initial design of the population, the construction of the fitness evaluation function, the neighborhood search method of the nectar source, and the calculation of the probability of recruiting observation bees. The algorithm is easy to mature early, the solution diversity is poor, it is easy to fall into the local optimum, and the later convergence speed is slow. Secondly, the information exchange and collaboration mechanism between multiple colonies is designed, and the parallel execution technology is used to give a dual-loop multiple colony parallel collaborative optimization model for simultaneous optimization of features and support vector machine mo...
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