/MS-MOEA

An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization

Primary LanguageMATLAB

MS-MOEA

An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization

%------------------------------- Reference --------------------------------

% N. Zheng, H. Wang, and B. Yuan, An Adaptive Model Switch-based

% Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive

% Multi-Objective Optimization, Complex & Intelligent Systems, accepted, 2022.

%------------------------------- 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 Nan Zheng.

% Email: nanszheng@163.com