GOBBI, Alessandro, MANERBA, Daniele, MANSINI, Renata und ZANOTTI, Roberto, 2023. Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand. International Transactions in Operational Research. 1 Januar 2023. Vol. 30, no. 1, p. 8-38. DOI 10.1111 tor.13127.
Elsevier - Harvard (with titles)Gobbi, A., Manerba, D., Mansini, R., Zanotti, R., 2023. Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand. International Transactions in Operational Research 30, 8-38. https://doi.org/10.1111 tor.13127
American Psychological Association 7th editionGobbi, A., Manerba, D., Mansini, R., & Zanotti, R. (2023). Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand. International Transactions in Operational Research, 30(1), 8-38. https://doi.org/10.1111 tor.13127
Springer - Basic (author-date)Gobbi A, Manerba D, Mansini R, Zanotti R (2023) Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand.. International Transactions in Operational Research 30:8-38. https://doi.org/10.1111 tor.13127
Juristische Zitierweise (Stüber) (Deutsch)Gobbi, Alessandro/ Manerba, Daniele/ Mansini, Renata/ Zanotti, Roberto, Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand., International Transactions in Operational Research 2023, 8-38.