ISO-690 (author-date, English)

WANG, X. und JIN, Y., 2025. Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization. IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions on, IEEE Trans. Evol. Computat. 1 Dezember 2025. Vol. 29, no. 6, p. 2401-2415. DOI 10.1109/TEVC.2024.3428701.

Elsevier - Harvard (with titles)

Wang, X., Jin, Y., 2025. Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization. IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions on, IEEE Trans. Evol. Computat. 29, 2401-2415. https://doi.org/10.1109/TEVC.2024.3428701

American Psychological Association 7th edition

Wang, X., & Jin, Y. (2025). Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization. IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions On, IEEE Trans. Evol. Computat., 29(6), 2401-2415. https://doi.org/10.1109/TEVC.2024.3428701

Springer - Basic (author-date)

Wang X, Jin Y (2025) Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization. IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions on, IEEE Trans. Evol. Computat. 29:2401-2415. https://doi.org/10.1109/TEVC.2024.3428701

Juristische Zitierweise (Stüber) (Deutsch)

Wang, X./ Jin, Y., Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization, IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Transactions on, IEEE Trans. Evol. Computat. 2025, 2401-2415.

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