Cite
Q-learning-based metaheuristic algorithm for thermoeconomic optimization of a shell-and-tube evaporator working with refrigerant mixtures.
MLA
Turgut, Oguz Emrah, et al. “Q-Learning-Based Metaheuristic Algorithm for Thermoeconomic Optimization of a Shell-and-Tube Evaporator Working with Refrigerant Mixtures.” Soft Computing - A Fusion of Foundations, Methodologies & Applications, vol. 27, no. 21, Nov. 2023, pp. 16201–41. EBSCOhost, https://doi.org/10.1007/s00500-023-08016-z.
APA
Turgut, O. E., Turgut, M. S., & Kırtepe, E. (2023). Q-learning-based metaheuristic algorithm for thermoeconomic optimization of a shell-and-tube evaporator working with refrigerant mixtures. Soft Computing - A Fusion of Foundations, Methodologies & Applications, 27(21), 16201–16241. https://doi.org/10.1007/s00500-023-08016-z
Chicago
Turgut, Oguz Emrah, Mert Sinan Turgut, and Erhan Kırtepe. 2023. “Q-Learning-Based Metaheuristic Algorithm for Thermoeconomic Optimization of a Shell-and-Tube Evaporator Working with Refrigerant Mixtures.” Soft Computing - A Fusion of Foundations, Methodologies & Applications 27 (21): 16201–41. doi:10.1007/s00500-023-08016-z.