A Noise-Resistant Infill Sampling Criterion in Surrogate-Assisted Multi-Objective Evolutionary Algorithms
%------------------------------- Reference --------------------------------
% Nan Zheng, Handing Wang*, A Noise-Resistant Infill Sampling Criterion in Surrogate-Assisted
% Multi-Objective Evolutionary Algorithms, Swarm and Evolutionary Computation.
%------------------------------- 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 ---------------------------
% NI = 100--------The size of population
% kappa = 0.05------The scaling factor
% wmax = 20-------The maximum surrogate-assisted search times
% This code is written by Nan Zheng.
% Email: Nanszheng@163.com