American Psychological Association 6th edition

Bakurov, 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

ISO-690 (author-date, English)

BAKUROV, Illya, BUZZELLI, Marco, CASTELLI, Mauro, VANNESCHI, Leonardo und SCHETTINI, Raimondo, 2021. General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python. Applied Sciences (2076-3417). 1 Juni 2021. Vol. 11, no. 11, p. 4774-4807. DOI 10.3390/app11114774.

Modern Language Association 9th edition

Bakurov, 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.

Mohr Siebeck - Recht (Deutsch - Österreich)

Bakurov, Illya/Buzzelli, Marco/Castelli, Mauro/Vanneschi, Leonardo/Schettini, Raimondo: General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python., Applied Sciences (2076-3417) 2021, 4774-4807.

Emerald - Harvard

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), Vol. 11 No. 11, S. 4774-4807.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.