Felling, T. (2021). Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations. Energy Economics, 101. https://doi.org/10.1016/j.eneco.2021.105422
ISO-690 (author-date, English)FELLING, Tim, 2021. Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations. Energy Economics. 1 September 2021. Vol. 101, , . DOI 10.1016/j.eneco.2021.105422.
Modern Language Association 9th editionFelling, T. „Development of a Genetic Algorithm and Its Application to a Bi-Level Problem of System Cost Optimal Electricity Price Zone Configurations“. Energy Economics, Bd. 101, September 2021, https://doi.org/10.1016/j.eneco.2021.105422.
Mohr Siebeck - Recht (Deutsch - Österreich)Felling, Tim: Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations, Energy Economics 2021,
Emerald - HarvardFelling, T. (2021), „Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations“, Energy Economics, Vol. 101, verfügbar unter:https://doi.org/10.1016/j.eneco.2021.105422.