APA (7th ed.) Citation

Li, J., Sang, H., Han, Y., Wang, C., & Gao, K. (2018). Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions. Journal of cleaner production, 181, 584-598. https://doi.org/10.1016/j.jclepro.2018.02.004

Chicago Style (17th ed.) Citation

Li, Jun-qing, Hong-yan Sang, Yu-yan Han, Cun-gang Wang, and Kai-zhou Gao. "Efficient Multi-objective Optimization Algorithm for Hybrid Flow Shop Scheduling Problems with Setup Energy Consumptions." Journal of Cleaner Production 181 (2018): 584-598. https://doi.org/10.1016/j.jclepro.2018.02.004.

MLA (9th ed.) Citation

Li, Jun-qing, et al. "Efficient Multi-objective Optimization Algorithm for Hybrid Flow Shop Scheduling Problems with Setup Energy Consumptions." Journal of Cleaner Production, vol. 181, 2018, pp. 584-598, https://doi.org/10.1016/j.jclepro.2018.02.004.