APA (7th ed.) Citation

Zhang, W., Li, C., Gen, M., Yang, W., & Zhang, G. (2024). A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem. Expert systems with applications, 237, 121570. https://doi.org/10.1016/j.eswa.2023.121570

Chicago Style (17th ed.) Citation

Zhang, Wenqiang, Chen Li, Mitsuo Gen, Weidong Yang, and Guohui Zhang. "A Multiobjective Memetic Algorithm with Particle Swarm Optimization and Q-learning-based Local Search for Energy-efficient Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem." Expert Systems with Applications 237 (2024): 121570. https://doi.org/10.1016/j.eswa.2023.121570.

MLA (9th ed.) Citation

Zhang, Wenqiang, et al. "A Multiobjective Memetic Algorithm with Particle Swarm Optimization and Q-learning-based Local Search for Energy-efficient Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem." Expert Systems with Applications, vol. 237, 2024, p. 121570, https://doi.org/10.1016/j.eswa.2023.121570.