Prediction of Network Incident Based on Improved Artificial Bee Colony Algorithm
PU Guolin
LIU Dujin
LI Jie
Abstract：Because of the complexity of the prediction of network emergencies,the prediction results of traditional network emergencies are not satisfactory. In response to this situation,the traditional search algorithm of artificial bee colony algorithm (ABC)has been improved greatly.The traditional single search formula is extended to a search formula for the employed bees and the follower bees,respectively.According to the swarm intelligence emergence principle of the artificial bee colony algorithm,the improved artificial bee colony algorithm(IABC)is introduced into the network group environment for predicting the occurrence of network emergencies.Based on this,a prediction algorithm for network emergencies based on improved artificial bee colony is pro?posed.The K nearest neighbor classifier(KNN),ABC,GABC、IABC four algorithms are used to evaluate the corpus.The experi?mental results show that the proposed algorithm is optimal in the prediction accuracy,recall rate and comprehensive evaluation in?dex of the network emergency prediction.So it can be used in practice.
Keywords：network emergent eventartificial bee colony algorithmsearch formulahot spot event
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2332-2335,2556 )