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- 19. Liang Gao, Xinyu Li, Xiaoyu Wen, Chao Lu, Feng Wen. A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem [J]. Computers & Industrial Engineering, 2015, 88:417-429. (SCI)
- 18. Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu. Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm [J]. Advances in Mechanical Engineering. 2017, 9(4), 1687814017695959. (SCI)
- 17. Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu, Zhao Zhang. A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem [J]. Sustainable Computing: Informatics and Systems. 2017, 13,15-30. (SCI)
- 16. Lvjiang Yin, Xinyu Li, Chao Lu, Liang Gao. Energy-efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm [J]. Sustainability. 2016, 8(12), 1268. (SCI)
- 15. Xinyu Li, Chao Lu, Liang Gao, Shengqiang Xiao, Long Wen, An Effective Multiobjective Algorithm for Energy Efficient Scheduling in a Real-Life Welding Shop [J]. IEEE Transactions on Industrial Informatics, 2018, DOI: 10.1109/TII.2018.2843441. (SCI)
- 14. Chao Lu, Liang Gao, Xinyu Li, Qi Wang. An efficient multi-objective backtracking search algorithm for single machine scheduling with controllable processing times [J]. Mathematical Problems in Engineering. 2017, Accepted. (SCI)
- 13. Chao Lu, Shengqiang Xiao, Xinyu Li and Liang Gao. An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production [J]. Advances in Engineering Software, 2016, 99: 161-176. (SCI)
- 12. Chao Lu, Liang Gao, Xinyu Li and Peng Chen. Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm [J]. Journal of Cleaner Production, 2016, 137(20): 1516-1531. (SCI)
- 11. Chao Lu, Liang Gao, Xinyu Li, Wei Liao, Jin Yi. An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times [J]. Computers & Industrial Engineering. 2017, 104: 156-174. (SCI)
- 10. Chao Lu, Liang Gao, Xinyu Li, Quanke Pan, Qi Wang. Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm [J]. Journal of Cleaner Production. 2017, 144: 228-238. (SCI)
- 9. Chao Lu, Liang Gao, Xinyu Li, Shengqiang Xiao. A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry [J]. Engineering Applications of Artificial Intelligence. 2017, 57: 61-79. (SCI)
- 8. Chao Lu, Liang Gao, Xinyu Li, Bing Zeng, Feng Zhou. A hybrid multi-objective evolutionary algorithm with feedback mechanism [J]. Applied Intelligence, 2018, 1-25. https://doi.org/10.1007/S10489-018-1211-5. (SCI)
- 7. Chao Lu, Liang Gao, Jin Yi. Grey wolf optimizer with cellular topological structure [J]. Expert Systems with Applications, 2018, 107, 89-114. (SCI)
- 6. Chao Lu, Liang Gao, Xinyu Li, Jun Zheng, Wenyin Gong. A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption [J]. Journal of Cleaner Production, 2018, 196: 773-787. (SCI)