American Psychological Association 6th edition

Wu, S., & Zhang, R. (2017). Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications, 1-11. https://doi.org/10.1007/s10586-017-0947-8

ISO-690 (author-date, English)

WU, Shijian und ZHANG, Ruixiong, 2017. Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications. 31 Mai 2017. P. 1-11. DOI 10.1007/s10586-017-0947-8.

Modern Language Association 9th edition

Wu, S., und R. Zhang. „Optimal Path for Sustainable Development under the Dual Constraints Based on Endogenous Growth Algorithm“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Mai 2017, S. 1-11, https://doi.org/10.1007/s10586-017-0947-8.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wu, Shijian/Zhang, Ruixiong: Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm, Cluster Computing: The Journal of Networks, Software Tools and Applications 2017, 1-11.

Emerald - Harvard

Wu, S. und Zhang, R. (2017), „Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm“, Cluster Computing: The Journal of Networks, Software Tools and Applications, S. 1-11.

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