APA (7th ed.) Citation

Shao, W., Shao, Z., & Pi, D. (2021). Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem. Expert systems with applications, 183, 115453. https://doi.org/10.1016/j.eswa.2021.115453

Chicago Style (17th ed.) Citation

Shao, Weishi, Zhongshi Shao, and Dechang Pi. "Multi-objective Evolutionary Algorithm Based on Multiple Neighborhoods Local Search for Multi-objective Distributed Hybrid Flow Shop Scheduling Problem." Expert Systems with Applications 183 (2021): 115453. https://doi.org/10.1016/j.eswa.2021.115453.

MLA (9th ed.) Citation

Shao, Weishi, et al. "Multi-objective Evolutionary Algorithm Based on Multiple Neighborhoods Local Search for Multi-objective Distributed Hybrid Flow Shop Scheduling Problem." Expert Systems with Applications, vol. 183, 2021, p. 115453, https://doi.org/10.1016/j.eswa.2021.115453.