SA2-MOEA

%------------------------------- Reference --------------------------------
% Nan Zheng, Handing Wang*, Jialin Liu, Formulating Approximation Error as Noise in Surrogate-Assisted 
% Multi-Objective Evolutionary Algorithm, Swarm and Evolutionary Computation,  vol.10, pp. 101666, 2024.
%------------------------------- Copyright --------------------------------
% Copyright (c) 2022 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.
%---------------------------- Parameter setting ---------------------------
% Global.N    = 100--------The size of population
% pool_size  = 5--------The maximum capacity of the model pool
% theta = 0.2------The noisy threshold
% cycle = 30-------The period of probability control
% kappa = 0.05-------The scaling factor 
% This code is written by Nan Zheng.
% Email: [email protected]