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Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization

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SAGIF

SAGIF - Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization

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

Shulei Liu, Handing Wang, Wen Yao and Wei Peng, Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization, in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2023.3243632.

------------------------------- Copyright --------------------------------

Copyright (c) HandingWangXDGroup. 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.

Email: shuleiliu@126.com

Requirements:

  • hvwfg

Test:

The example of runing SAGIF is test_sagif_on_**.py

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Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization

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