SQL-PSO: Surrogate-Assisted Evolutionary Q-Learning
------------------------------- Reference --------------------------------
Zhang T, Wang H, Yuan B, et al. Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems[J]. IEEE Transactions on Evolutionary Computation, 2022.
------------------------------- 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.
This code is written by Tuo Zhang.
Email: zhangtuo@stu.xidian.edu.cn
-------------------------------- Usage------------------------------------
Run SQLPSO_test.m to test the proposed algorithm.