Crawford, B.; Soto, R.; Lemus-Romani, J.; Becerra-Rozas, M.; Lanza-Gutiérrez, J.M.; Caballé, N.; Castillo, M.; Tapia, D.; Cisternas-Caneo, F.; GarcÃa, J.;
et al. Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics. Mathematics 2021, 9, 1839.
https://doi.org/10.3390/math9161839
AMA Style
Crawford B, Soto R, Lemus-Romani J, Becerra-Rozas M, Lanza-Gutiérrez JM, Caballé N, Castillo M, Tapia D, Cisternas-Caneo F, GarcÃa J,
et al. Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics. Mathematics. 2021; 9(16):1839.
https://doi.org/10.3390/math9161839
Chicago/Turabian Style
Crawford, Broderick, Ricardo Soto, José Lemus-Romani, Marcelo Becerra-Rozas, José M. Lanza-Gutiérrez, Nuria Caballé, Mauricio Castillo, Diego Tapia, Felipe Cisternas-Caneo, José GarcÃa,
and et al. 2021. "Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics" Mathematics 9, no. 16: 1839.
https://doi.org/10.3390/math9161839
APA Style
Crawford, B., Soto, R., Lemus-Romani, J., Becerra-Rozas, M., Lanza-Gutiérrez, J. M., Caballé, N., Castillo, M., Tapia, D., Cisternas-Caneo, F., GarcÃa, J., Astorga, G., Castro, C., & Rubio, J.-M.
(2021). Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics. Mathematics, 9(16), 1839.
https://doi.org/10.3390/math9161839