American Psychological Association 6th edition

Li, J., Liu, Q., Li, X., & Gao, L. (2025). An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems. International Journal of Production Research, 63(19), 7238-7259. https://doi.org/10.1080/00207543.2025.2496971

ISO-690 (author-date, English)

LI, Jiahang, LIU, Qihao, LI, Xinyu und GAO, Liang, 2025. An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems. International Journal of Production Research. 1 Oktober 2025. Vol. 63, no. 19, p. 7238-7259. DOI 10.1080/00207543.2025.2496971.

Modern Language Association 9th edition

Li, J., Q. Liu, X. Li, und L. Gao. „An Efficient Problem-Specific Evolutionary Algorithm for Flexible Job Shop Scheduling Problem With Specific Workers in Highly Customised Manufacturing Systems.“. International Journal of Production Research, Bd. 63, Nr. 19, Oktober 2025, S. 7238-59, https://doi.org/10.1080/00207543.2025.2496971.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Jiahang/Liu, Qihao/Li, Xinyu/Gao, Liang: An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems., International Journal of Production Research 2025, 7238-7259.

Emerald - Harvard

Li, J., Liu, Q., Li, X. und Gao, L. (2025), „An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems.“, International Journal of Production Research, Vol. 63 No. 19, S. 7238-7259.

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