卢超 - 中国地质大学(武汉)

个人简介

科研项目绿色车间动态调度问题的理论与方法研究加工时间可控的绿色车间调度理论与方法, 在研授课信息大数据技术基础获奖信息十堰社会科学优秀成果奖一等奖

近期论文

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[1]20. Jianhui Mou, Liang Gao, Xinyu Li, Chao Lu, Hongjie Hu. Optimisation of the reverse scheduling problem by a modified genetic algorithm by a modified genetic algorithm [J]. International Journal of Production Research, 2015, 53(23):6980-6993. (SCI) [2]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) [3]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) [4]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) [5]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) [6]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) [7]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) [8]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) [9]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) [10]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) [11]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) [12]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) [13]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) [14]7. Chao Lu, Liang Gao, Jin Yi. Grey wolf optimizer with cellular topological structure [J]. Expert Systems with Applications, 2018, 107, 89-114. (SCI) [15]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) [16]5. Chao Lu, Liang Gao, Quanke Pan, Xinyu Li, Jun Zheng. A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution [J]. Applied Soft Computing, 2019, 75: 728-749 (SCI) [17]4. Jun Zheng, ZL Li, Bin Dou, Chao Lu. Multi-objective cellular particle swarm optimization and RBF for drilling parameters optimization [J]. Mathematical biosciences and engineering, 2019, 16(3): 1258-1279 (SCI) [18]3. Jin Yi, Chao Lu*, Guomin Li. A literature review on latest developments of Harmony Search and its applications to intelligent manufacturing [J]. Mathematical biosciences and engineering, 2019, 16(3): 1258 (SCI) [19]2. Jun Zheng, Chao Lu, Liang Gao. Multi-objective cellular particle swarm optimization for wellbore trajectory design [J]. Applied Soft Computing, 2019, 77: 106-117 (SCI) [20]1. Jin Yi, Liang Gao, Xinyu Li, CA Shoemaker, Chao Lu. An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization [J]. Knowledge-Based Systems, 2019, 170:1-19. (SCI)