FENG, Liang, GUPTA, Abhishek, TAN, Kay Chen und ONG, Yew Soon, 2023. Evolutionary Multi-Task Optimization : Foundations and Methodologies. 1 st ed. 2023. Singapore: Springer Nature Singapore. ISBN 9789811956508.
Elsevier - Harvard (with titles)Feng, L., Gupta, A., Tan, K.C., Ong, Y.S., 2023. Evolutionary Multi-Task Optimization : Foundations and Methodologies, 1 st ed. 2023. ed, Machine Learning: Foundations, Methodologies, and Applications. Springer Nature Singapore, Singapore. https://doi.org/10.1007/978-981-19-5650-8
American Psychological Association 7th editionFeng, L., Gupta, A., Tan, K. C., & Ong, Y. S. (ca. 2023). Evolutionary Multi-Task Optimization : Foundations and Methodologies [Cd]. In Machine Learning: Foundations, Methodologies, and Applications (1 st ed. 2023). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5650-8
Springer - Basic (author-date)Feng L, Gupta A, Tan KC, Ong YS (2023) Evolutionary Multi-Task Optimization : Foundations and Methodologies, 1 st ed. 2023. Springer Nature Singapore, Singapore
Juristische Zitierweise (Stüber) (Deutsch)Feng, Liang/ Gupta, Abhishek/ Tan, Kay Chen/ Ong, Yew Soon, Evolutionary Multi-Task Optimization : Foundations and Methodologies, 1 st ed. 2023 , Singapore 2023.