Cite
A novel genetic algorithm based method for solving continuous nonlinear optimization problems through subdividing and labeling.
MLA
Esmaelian, Majid, et al. “A Novel Genetic Algorithm Based Method for Solving Continuous Nonlinear Optimization Problems through Subdividing and Labeling.” Measurement (02632241), vol. 115, Feb. 2018, pp. 27–38. EBSCOhost, https://doi.org/10.1016/j.measurement.2017.09.034.
APA
Esmaelian, M., Tavana, M., Santos-Arteaga, F. J., & Vali, M. (2018). A novel genetic algorithm based method for solving continuous nonlinear optimization problems through subdividing and labeling. Measurement (02632241), 115, 27–38. https://doi.org/10.1016/j.measurement.2017.09.034
Chicago
Esmaelian, Majid, Madjid Tavana, Francisco J. Santos-Arteaga, and Masoumeh Vali. 2018. “A Novel Genetic Algorithm Based Method for Solving Continuous Nonlinear Optimization Problems through Subdividing and Labeling.” Measurement (02632241) 115 (February): 27–38. doi:10.1016/j.measurement.2017.09.034.