Cite
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.
MLA
Lopez-Garcia, Pedro, et al. “A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 2, Feb. 2016, pp. 557–69. EBSCOhost, https://doi.org/10.1109/TITS.2015.2491365.
APA
Lopez-Garcia, P., Onieva, E., Osaba, E., Masegosa, A. D., & Perallos, A. (2016). A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy. IEEE Transactions on Intelligent Transportation Systems, 17(2), 557–569. https://doi.org/10.1109/TITS.2015.2491365
Chicago
Lopez-Garcia, Pedro, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, and Asier Perallos. 2016. “A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.” IEEE Transactions on Intelligent Transportation Systems 17 (2): 557–69. doi:10.1109/TITS.2015.2491365.