Marichelvam, M., Geetha, M., & Tosun, Ö. (2020). An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – A case study. Computers & operations research, 114, 104812. https://doi.org/10.1016/j.cor.2019.104812
Chicago Style (17th ed.) CitationMarichelvam, M.K, M. Geetha, and Ömür Tosun. "An Improved Particle Swarm Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problems with the Effect of Human Factors – A Case Study." Computers & Operations Research 114 (2020): 104812. https://doi.org/10.1016/j.cor.2019.104812.
MLA (9th ed.) CitationMarichelvam, M.K, et al. "An Improved Particle Swarm Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problems with the Effect of Human Factors – A Case Study." Computers & Operations Research, vol. 114, 2020, p. 104812, https://doi.org/10.1016/j.cor.2019.104812.