Incremental_Kriging_Assisted_Evolutionary_Algorithm

• This is the MATLAB implementation of the incremental Kriging-assisted evolutionary algorithm proposed in [1].
• It uses an incremental learning method to update the Kriging model when new samples become available. Therefore, the surrogate modelling process is significantly faster than the traditional learning method.
• I referred some MATLAB codes in [2] when coding the incremental Kriging model.

Reference

1. Dawei Zhan and Huanlai Xing. A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. IEEE Transactions on Evolutionary Computation, 2021, 25(5): 941-955.
2. A. I. J. Forrester, A. Sobester and A. J. Keane. Engineering design via surrogate modelling: a practical guide, 2008, John Wiley & Sons.