当前位置:首页 > 新闻报道

团队持续推进多目标优化调度领域研究

发布时间:2022-02-02    字体:[增加 减小]  

非常高兴在大年初二收到ASOC发来的稿件刊出通知,昨天也收到了Knosys的稿件录用通知,真是好事成双,新春开新局,新年新气象。谢谢编辑部的辛勤劳动!谢谢评审专家的肯定和支持!祝贺各位又取得新的成果!感谢你们的辛勤付出!

 

细细想来,这是团队近5年在多目标优化和调度领域的第15篇论文,专著1本,教材1本。这些论文先后发表在Knowledge-based System, Applied Soft Computing, International Journal of Production Research, IEEE Transactions on Industrial Informatics, IEEE Transaction on Cybernetics, SensorsSwarm and Evolutionary Computation, IEEE Transactions on Evolutionary Computation, 控制与决策, 计算机集成制造系统,机械工程学报, 电子学报, 控制理论与应用。论文分别涉及到多目标优化调度新理论、新框架;制造车间多目标调度;多场景生产作业多目标调度;基于仿真的车间实时调度;工业物联网支持的车间实时多目标调度;群智能优化算法等。在比较充分的理论研究和算例考核的基础上,先后在制造车间、多式联运、港口码头等领域小试牛刀,取得了不错的结果。从学术影响方面,一篇论文获得ESI高被引论文,一篇论文获得期刊2021年度热点论文/最佳论文推荐,多篇论文得到了持续的他引。未来,团队将顺应人工智能技术发展需求,在进一步探索众多目标优化调度理论;针对工业物联网发展趋势,不断完善多目标实时动态调度体系和策略;同时,积极响应国家把论文写在祖国大地上的号召,期待更多来自企业工程实际问题的挑战,以检验我们在多目标优化与调度领域的学术成果。展望未来,我们拭目以待!

 

 

1)       Lijun He, Raymond Chiong, Wenfeng Li, Gregorius Satia Budhi, Yu Zhang. A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles. Knowledge-based System. (录用)

2)       Lijun He, Yulian Cao, Wenfeng Li, Jingjing Cao, Lingchong Zhong. Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm. Applied Soft Computing, Vol. 118, 2022, 108459, https://doi.org/10.1016/j.asoc.2022.108459.

3)       Lei Cai, Wenfeng Li, Yun Luo & Lijun He. Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment. International Journal of Production Research, 2022, DOI: 10.1080/00207543.2021.2023777

4)       L. He, R. Chiong, W. Li, S. Dhakal, Y. Cao and Y. Zhang. Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy. IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 600-610, Jan. 2022, doi: 10.1109/TII.2021.3056425.

5)       钟祾充,李文锋,贺利军,张煜,周勇。集装箱码头混合零空闲柔性流水作业调度优化化[J/OL]计算机集成制造系统2021,12,29https://kns.cnki.net/kcms/detail/11.5946.TP.20211228.1358.016.html

6)       蔡磊,李文锋,罗云。个性化定制车间生产-物流协同调度框架与算法研究[J/OL]机械工程学报https://kns.cnki.net/kcms/detail/11.2187.TH.20211003.1040.002.html

7)       Wenfeng Li, Lijun He, Yulian Cao. Many-objective evolutionary algorithm with reference point-based fuzzy correlation entropy for energy-efficient job shop scheduling with limited workers. IEEE Transaction on Cybernetics, 2021, online, doi: 10.1109/TCYB.2021.3069184.

8)       Y. Luo, W. Li, W. Yang, G. Fortino. A real-time edge scheduling and adjustment framework for highly customizable factories. IEEE Transactions on Industrial Informatics, 2021, 17(8): 5625-5634. doi: 10.1109/TII.2020.3044698.

9)       W. Yang, W. Li, Y. Cao, Y. Luo, L. He. Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory. Sensors. 20(16), Aug. 2020:  https://doi.org/10.3390/s20164507  ISSN 1424-8220

10)    W. Yang, W. Li, Y. Cao, Y. Luo, L. He. An information theory inspired real-time self-adaptive scheduling for production-logistics resources: framework, principle, and implementation. Sensors, 20(24), Dec. 2020: https://doi.org/10.3390/s20247007

11)    贺利军,李文锋,张煜. 基于灰色综合关联分析的多目标优化方法. 控制与决策2020,35(5): 1134-1142.

12)    L. He, W. Li, Y. Zhang, Y. Cao. A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times. Swarm and Evolutionary Computation, 51, Dec. 2019: 100575.

13)    Y. Cao, H. Zhang, W. Li, M. Zhou, Y. Zhang, W. Chaovalitwongse. Comprehensive Learning Particle Swarm Optimization Algorithm with Local Search for Multimodal Functions. IEEE Transactions on Evolutionary Computation, 23(4), Aug. 2019, 718-731

14)    曹玉莲, 李文锋, 张煜. 基于拟熵自适应启动局部搜索策略的混合粒子群算法[J]. 电子学报, 2018, 46(1): 110-117.

15)    李文锋, 曹玉莲, 张汉. 简单高效耦合策略的粒子群混合算法[J]. 控制理论与应用, 2018, 35(1):13-23.