A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems.

MLA

Elhag, Salma, et al. “A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems.” Soft Computing - A Fusion of Foundations, Methodologies & Applications, vol. 23, no. 4, Feb. 2019, pp. 1321–36. EBSCOhost, https://doi.org/10.1007/s00500-017-2856-4.

APA

Elhag, S., Fernández, A., Altalhi, A., Alshomrani, S., & Herrera, F. (2019). A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems. Soft Computing - A Fusion of Foundations, Methodologies & Applications, 23(4), 1321–1336. https://doi.org/10.1007/s00500-017-2856-4

Chicago

Elhag, Salma, Alberto Fernández, Abdulrahman Altalhi, Saleh Alshomrani, and Francisco Herrera. 2019. “A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems.” Soft Computing - A Fusion of Foundations, Methodologies & Applications 23 (4): 1321–36. doi:10.1007/s00500-017-2856-4.