Cite
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
MLA
Martinez, Aritz D., et al. “Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges.” Information Fusion, vol. 67, Mar. 2021, pp. 161–94. EBSCOhost, https://doi.org/10.1016/j.inffus.2020.10.014.
APA
Martinez, A. D., Del Ser, J., Villar-Rodriguez, E., Osaba, E., Poyatos, J., Tabik, S., Molina, D., & Herrera, F. (2021). Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Information Fusion, 67, 161–194. https://doi.org/10.1016/j.inffus.2020.10.014
Chicago
Martinez, Aritz D., Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, and Francisco Herrera. 2021. “Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges.” Information Fusion 67 (March): 161–94. doi:10.1016/j.inffus.2020.10.014.