American Psychological Association 6th edition

Li, Z., Xia, Y., & Sahli, H. (2019). CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images. Cognitive Computation, 1-14. https://doi.org/10.1007/s12559-019-09663-x

ISO-690 (author-date, English)

LI, Zhe, XIA, Yong und SAHLI, Hichem, 2019. CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images. Cognitive Computation. 7 August 2019. P. 1-14. DOI 10.1007/s12559-019-09663-x.

Modern Language Association 9th edition

Li, Z., Y. Xia, und H. Sahli. „CSA-DE/EDA: A Novel Bio-Inspired Algorithm for Function Optimization and Segmentation of Brain MR Images“. Cognitive Computation, August 2019, S. 1-14, https://doi.org/10.1007/s12559-019-09663-x.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Zhe/Xia, Yong/Sahli, Hichem: CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images, Cognitive Computation 2019, 1-14.

Emerald - Harvard

Li, Z., Xia, Y. und Sahli, H. (2019), „CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images“, Cognitive Computation, S. 1-14.

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