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.
Elsevier - Harvard (with titles)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, 7238-7259. https://doi.org/10.1080/00207543.2025.2496971
American Psychological Association 7th editionLi, 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
Springer - Basic (author-date)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 63:7238-7259. https://doi.org/10.1080/00207543.2025.2496971
Juristische Zitierweise (Stüber) (Deutsch)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.