Cite Us#
If you have used our framework for research purposes, you can cite pymoo [59]:
@ARTICLE{pymoo,
author={J. {Blank} and K. {Deb}},
journal={IEEE Access},
title={pymoo: Multi-Objective Optimization in Python},
year={2020},
volume={8},
number={},
pages={89497-89509},
}
All references of this online documentation are listed below. The corresponding BibTex is available as well.
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Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, and Erik Goodman. Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evolutionary Computation, pages 1–40, May 2019. doi:10.1162/evco_a_00259.
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J. Blank and K. Deb. pymoo: multi-objective optimization in python. IEEE Access, 8():89497–89509, 2020. doi:10.1109/ACCESS.2020.2990567.