American Psychological Association 6th edition

Wu, W.- tian, & Yang, X.- min. (2024). Reference-point-based branch and bound algorithm for multiobjective optimization. Journal of Global Optimization: An International Journal Dealing With Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering, 88(4), 927-945. https://doi.org/10.1007/s10898-023-01306-8

ISO-690 (author-date, English)

WU, Wei-tian und YANG, Xin-min, 2024. Reference-point-based branch and bound algorithm for multiobjective optimization. Journal of Global Optimization: An International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering. 1 April 2024. Vol. 88, no. 4, p. 927-945. DOI 10.1007/s10898-023-01306-8.

Modern Language Association 9th edition

Wu, W.- tian, und X.- min Yang. „Reference-Point-Based Branch and Bound Algorithm for Multiobjective Optimization“. Journal of Global Optimization: An International Journal Dealing With Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering, Bd. 88, Nr. 4, April 2024, S. 927-45, https://doi.org/10.1007/s10898-023-01306-8.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wu, Wei-tian/Yang, Xin-min: Reference-point-based branch and bound algorithm for multiobjective optimization, Journal of Global Optimization: An International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering 2024, 927-945.

Emerald - Harvard

Wu, W.- tian und Yang, X.- min. (2024), „Reference-point-based branch and bound algorithm for multiobjective optimization“, Journal of Global Optimization: An International Journal Dealing With Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering, Vol. 88 No. 4, S. 927-945.

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