%------------------------------- Reference --------------------------------
Liu Z, Wang H, Gong M, et al. Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.
%------------------------------- Copyright --------------------------------
% Copyright (c) 2021 HandingWangXD Group. Permission is granted to copy and
% use this code for research, noncommercial purposes, provided this
% copyright notice is retained and the origin of the code is cited. The
% code is provided "as is" and without any warranties, express or implied.
% This code is written by Zhening Liu.
Run STNSGAII.m to acquire the results based on NSGA-II
The initial THETA value of the Kriging models are set as 5;
The range of THETA is set as [10^{-5},10^5]
The number of hideen nodes of RBFN is set as \sqrt(N), where N is the number of initial data.