Funder
National Natural Science Foundation of China
Reference73 articles.
1. Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming;Chen;Annals of Operations Research,2020
2. A multi-facet survey on memetic computation;Chen;IEEE Transactions on Evolutionary Computation,2011
3. A hybrid discrete differential evolution algorithm for the no-idle permutation flow shop scheduling problem with makespan criterion;Deng;Computers & Operations Research,2012
4. A competitive memetic algorithm for the distributed flow shop scheduling problem;Deng;IEEE International Conference on Automation Science and Engineering (CASE),2014
5. Duan, J.-H., Meng, T., Chen, Q.-D., & Pan, Q.-K. (2018). An effective artificial bee colony for distributed lot-streaming flowshop scheduling problem. Intelligent Computing Methodologies: 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III 14, 795–806.