rschoonhoven/BlooPy: v0.3

BlooPy: Black-box optimization Python for bitstring, categorical, and numerical discrete problems with local, and population-based algorithms.

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Keywords	Black-box optimization, Performance optimization, Evolutionary copmuting, Fitness landscapes, Algorithms
Persistent URL	doi.org/10.5281/zenodo.5167384
Rights	creativecommons.org/licenses/by/4.0/legalcode
Note	Schoonhoven Richard. (2021). rschoonhoven/BlooPy: v0.3 (0.3). Zenodo. https://doi.org/10.5281/zenodo.5167384
Organisation	Computational Imaging
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Schoonhoven, R. (2021). rschoonhoven/BlooPy: v0.3. doi:10.5281/zenodo.5167384

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