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KTA2

KTA2 - Kriging assisted Two_Arch2

------------------------------- Reference --------------------------------

Z. Song, H. Wang, C. He and Y. Jin, A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization in IEEE Transcations on Evolutionary Computation.

------------------------------- 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.

---------------------------- Parameter setting ---------------------------

mu --- 5 --- Number of re-evaluated solutions at each generation

tau --- 0.75*N --- The proportion of one type noninfluential points in training data

wmax --- 10 --- Number of generations before updating CA and DA

phi --- 0.1 --- Number of randomly selected individuals

This code is written by Zhenshou Song.

Email: [email protected]

Acknowledgements on the Platform*

*Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum], IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87

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