Bakurov, I., Buzzelli, M., Castelli, M., Vanneschi, L. und Schettini, R. (2021) „General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python.“, Applied Sciences (2076-3417), 11(11), S. 4774-4807. doi:10.3390/app11114774.
Chicago Manual of Style 17th edition (full note)Bakurov, Illya, Marco Buzzelli, Mauro Castelli, Leonardo Vanneschi, und Raimondo Schettini. „General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python.“. Applied Sciences (2076-3417) 11, Nr. 11 (1. Juni 2021): 4774-4807. https://doi.org/10.3390/app11114774.
American Psychological Association 7th editionBakurov, I., Buzzelli, M., Castelli, M., Vanneschi, L., & Schettini, R. (2021). General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python. Applied Sciences (2076-3417), 11(11), 4774-4807. https://doi.org/10.3390/app11114774
Modern Language Association 9th editionBakurov, I., M. Buzzelli, M. Castelli, L. Vanneschi, und R. Schettini. „General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python.“. Applied Sciences (2076-3417), Bd. 11, Nr. 11, Juni 2021, S. 4774-07, https://doi.org/10.3390/app11114774.
ISO-690 (author-date, Deutsch)BAKUROV, Illya, Marco BUZZELLI, Mauro CASTELLI, Leonardo VANNESCHI und Raimondo SCHETTINI, 2021. General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python. Applied Sciences (2076-3417). 1 Juni 2021. Bd. 11, Nr. 11, S. 4774-4807. DOI 10.3390/app11114774