An Efficient Improvement of CMA-ES Algorithm for the Network Security Situation Prediction
Guanyu Hu, Peili Qiao · The Open Automation and Control Systems Journal · 2015
An improved covariance matrix adaptation evolution strategy algorithm (CMA-ES) is proposed and it is used to train the forecasting model of the network security situation in this paper.A new recombination strategy which adds a heuristic component is developed in the improved CMA-ES algorithm, and the search speed is accelerated.The experimental results show that, compare with original algorithm and its variants, the improved CMA-ES algorithm can greatly increased the search speed in high dimensional problems.The improved CMA-ES algorithm is an efficient evolutionary algorithm which can be applied to the network security situation prediction.