American Psychological Association 6th edition

Zheng, B., Pan, J., Qian, Q., Zhang, X., Song, M., Feng, Y., & Li, Y. (2026). Enhanced PID-based search algorithm based on a novel population diversity metric. Cluster Computing: The Journal of Networks, Software Tools and Applications, 29(1). https://doi.org/10.1007/s10586-025-05843-7

ISO-690 (author-date, English)

ZHENG, Biao, PAN, Jiawen, QIAN, Qian, ZHANG, Xiaoli, SONG, Miao, FENG, Yong und LI, Yingna, 2026. Enhanced PID-based search algorithm based on a novel population diversity metric. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 Februar 2026. Vol. 29, no. 1, . DOI 10.1007/s10586-025-05843-7.

Modern Language Association 9th edition

Zheng, B., J. Pan, Q. Qian, X. Zhang, M. Song, Y. Feng, und Y. Li. „Enhanced PID-Based Search Algorithm Based on a Novel Population Diversity Metric“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 29, Nr. 1, Februar 2026, https://doi.org/10.1007/s10586-025-05843-7.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zheng, Biao/Pan, Jiawen/Qian, Qian/Zhang, Xiaoli/Song, Miao/Feng, Yong u. a.: Enhanced PID-based search algorithm based on a novel population diversity metric, Cluster Computing: The Journal of Networks, Software Tools and Applications 2026,

Emerald - Harvard

Zheng, B., Pan, J., Qian, Q., Zhang, X., Song, M., Feng, Y. und Li, Y. (2026), „Enhanced PID-based search algorithm based on a novel population diversity metric“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 29 No. 1, verfügbar unter:https://doi.org/10.1007/s10586-025-05843-7.

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