General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python
(Illya Bakurov, Marco Buzzelli, Mauro Castelli, Leonardo Vanneschi, Raimondo Schettini)
In Applied Sciences, volume 11, number 11, 2021.
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@article{bakurov2021general,
author = {Bakurov, Illya and Buzzelli, Marco and Castelli, Mauro and Vanneschi, Leonardo and Schettini, Raimondo},
year = {2021},
title = {General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python},
volume = {11},
number = {11},
journal = {Applied Sciences},
url = {https://www.mdpi.com/2076-3417/11/11/4774},
pdf = {/download/2021c_General_Purpose_Optimization_Library_GPOL_A_Flexible_and_Efficient_Multi-Purpose_Optimization_Library_in_Python.pdf},
doi = {10.3390/app11114774},
issn = {2076-3417},
projectref = {https://gitlab.com/ibakurov/general-purpose-optimization-library}}