【个人简介】
1. 罗宏远，讲师，法国勃艮第-弗朗什孔泰大学博士；主要研究方向：物流网络优化、大规模混合整数规划问题建模与优化、启发式算法与精确算法设计；主持中国博士后科学基金面上资助、湖北省自然科学基金青年基金、中央高校基本科研业务费等5项科研项目；在Computers & Operations Research、Annals of Operations Research、Computers & Industrial Engineering、Engineering Applications of Artificial Intelligence、系统工程理论与实践等国内外权威期刊与会议上发表论文20余篇；担任IEEE TNNLS、CAIE、ESWA等国内外权威期刊的匿名评审人。
【工作经历】
1. 2022-05月至今,华中师范大学信息管理学院,讲师
【研究方向】
1.物流网络优化
2.大规模混合整数规划问题建模与优化
3.启发式算法与精确算法设计
【科研项目】
1. 2024.03-2026.03：湖北省自然科学基金青年基金项目，2024AFB319，主持，在研
2. 2023.11-2025.05：中国博士后科学基金面上资助项目，2023M741302，主持，在研
3. 2024.05-2025.12：中央高校基本科研业务费优秀种子培育项目，CCNU24ZZ145，主持，结题
4. 2023.01-2024.12：中央高校基本科研业务费新进教师项目，CCNU23XJ015，主持，结题
5. 2025.01-2028.12：国家自然科学基金面上项目，72471099，参与，在研
【教育背景】
1. 2018年至2021年,Université Bourgogne Franche-Comté,自动化,博士
2. 2015年至2018年,中国地质大学（武汉）,经济管理学院,管理科学与工程,硕士
3. 2011年至2015年,中国地质大学（武汉）,经济管理学院,信息管理与信息系统,本科
【讲授课程】
1. 系统工程（本科生）
2. 管理系统模拟（本科生）
3. Python语言程序设计（本科生）
4. 面向对象程序设计（Java）（本科生）
5. 大数据分析工具（研究生）
6. 管理学实证研究方法（研究生）
【发表论文】
1. Wu, Y., Guo, H., Yao, J. & Luo, H.* (2025). Relief reserve allocation considering the supply chain network resilience under the government-enterprise joint reserve mode. Annals of Operations Research. (SCI, JCR Q1, ABS 3, FMS B)
2. Luo, H., Wang, D.*, Li, Y., Lu, X., Gao, M., & Chen, H. (2025). A sample average approximation-based approach for the last mile delivery and pickup problem with load-dependent travel time under uncertainties. Engineering Applications of Artificial Intelligence, 155, 110944. (SCI, JCR Q1)
3. Luo, H., Ma, T. & Li, Z.* (2025). An exact branch-price-and-cut algorithm for the time-dependent cold chain pickup and delivery problem with incompatibility constraints. Computers & Operations Research, 178, 107007. (SCI, JCR Q1, ABS 3, FMS B)
4. Luo, H., Dridi, M., & Grunder, O.* (2023). A branch-price-and-cut algorithm for a time-dependent green vehicle routing problem with the consideration of traffic congestion. Computers & Industrial Engineering, 177, 109093. (SCI, JCR Q1, ABS 2, FMS B)
5. Luo, H., Wang, D.*, Cheng, J. & Wu, Q. (2022). Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction. Resources Policy, 79, 102962. (ABS 2)
6. Luo, H., Dridi, M., & Grunder, O.* (2022). A branch-and-price algorithm for a routing and scheduling problem from economic and environmental perspectives. RAIRO - Operations Research, 56(5), 3267-3292. (SCI, JCR Q2, ABS 1)
7. Luo, H., Dridi, M., & Grunder, O.* (2021). An ACO-based heuristic approach for a route and speed optimization problem in home health care with synchronized visits and carbon emissions. Soft Computing, 25(23), 14673-14696. (SCI, JCR Q2)
8. Luo, H.*, Dridi, M., & Grunder, O. (2021, September). An Exact Method for a Green Vehicle Routing Problem with Traffic Congestion. In IFIP International Conference on Advances in Production Vehicle Management Systems (pp. 59-67). Springer, Cham.
9. Luo, H.*, Dridi, M., & Grunder, O. (2020). A Green Routing and Scheduling Problem in Home Health Care. IFAC-PapersOnLine, 53(2), 11119-11124.
10. Luo, H., Dridi, M., & Grunder, O.* (2019, October). Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions. In International Conference on Artificial Evolution (Evolution Artificielle) (pp. 136-147). Springer, Cham.
11. Luo, H., Wang, D.*, Yue, C., Liu, Y., & Guo, H. (2018). Research and application of a novel hybrid decomposition-ensemble learning model with error correction for daily PM10 forecasting. Atmospheric Research, 201, 34-45. (SCI, JCR Q1, IF=5.965)
12. 张元涛, 罗宏远*, 王德运, 郑坚钦 & 周淑慧. (2025). 中国天然气产销系统安全评价与风险识别. 国际石油经济, 33(07): 25-36.
13. 罗宏远, 李延晖, 卢新元 & 梅书凡*. (2025). 负载依赖型电动货运三轮车最后一千米同时送货路径优化研究. 华中师范大学学报(自然科学版). (CSCD)
14. 罗宏远, 王德运*, 刘艳玲, 魏帅 & 林彦兵. (2018). 基于二层分解技术和改进极限学习机模型的PM 2.5浓度预测研究. 系统工程理论与实践, 38(5), 1321-1330. (CSSCI, NSFC A, FMS T1)
15. Wang, D.*, Luo, H., Grunder, O., Lin, Y., & Guo, H. (2017). Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm. Applied Energy, 190, 390-407. (SCI, JCR Q1)
16. Wang, D.*, Luo, H., Grunder, O., & Lin, Y. (2017). Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction. Renewable Energy, 113, 1345-1358. (SCI, JCR Q1)
17. Wang, D.*, & Luo, H. (2016, August). Simultaneous Lot-Sizing and Scheduling for Single-Stage Multi-product Production-Distribution System with Due Date Considerations to Minimize Total Logistics Cost. In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (Vol. 1, pp. 200-203). IEEE.
