姓名：骆强
出生年月：1995 年11月
办公地点：东莞理工学院（松山湖）12N202
联系电话：（+86）19397869159
电子邮箱：luoqiang@dgut.edu.cn
教育与工作背景
2021.09-2025.06：湖南大学，机械与运载工程学院，机械工程，博士
2025.07-至今：东莞理工学院，机械工程学院，工业工程系，讲师
科研情况
围绕智能生产调度、装备运维优化、元启发式与人工智能算法等方向开展研究。入选2024年首届中国科协青年人才托举工程（博士生专项计划）、2025年广东省科协青年科技人才培育计划。主持国家自然科学基金、广东省区域联合基金、东莞市基础研究基金等科研项目4项，重点参与国家重点研发计划、国家自然科学基金面上项目等科研课题4项，授权软件著作权3项。累计发表SCI论文30余篇，被引1100次（单篇最高引用超200次）。担任中国仿真学会智能仿真优化与调度专委会委员、资源规划仿真与决策专委会委员，以及IEEE汇刊、JMS、SWEVO、EAAI、ESWA、CAOR、IJPR、CAIE等15个国际权威期刊审稿人。
科研项目
[1] 国家自然科学基金（青年项目），基于多模态大模型的谱仪设备群多尺度维修决策实时鲁棒优化方法研究，2027.01-2029.12，主持，在研
[2] 广东省粤莞联合基金（青年项目），协同装备运行效用优化的备件分布式生产调度研究，2025.11-2028.10，主持，在研
[3] 东莞市基础研究基金（青年项目），复杂装备运维服务与备件生产的跨域集成调度研究，2026.01-2028.12，主持，在研
[4] 2024年中国科协青年人才托举工程（博士生专项计划），托举学会：中国机械工程学会，2025.01-2026.12，主持，在研
[5] 2025年广东省科协青年科技人才培育计划，培育学会：广东省仪器仪表学会，2026.01-2027.12，主持，在研
[6] 东莞理工学院人才引进科研启动项目，服务型制造下求解供需协同调度问题的人工智能方法研究，2025.07-2028.06，主持，在研
[7] 国家自然科学基金（面上项目），面向装备运维效用与库存控制协同优化的备件分布式生产调度研究，2025.01-2028.12，主要参与，在研
[8] 企业横向，生活用纸企业生产过程智能优化技术研发，2025.10-2026.10，主要参与，结题
[9] 国家重点研发计划课题，智能互联装备群组的分层制造协同技术，2020.11-2023.11，主要参与，结题
[10]国家重点研发计划课题，成套装备的多阶段在线协同运维技术，2020.11-2023.11，主要参与，结题
[11] 国家重点研发计划课题，制造企业主导的制造服务价值网融合技术与方法，2019.05-2023.04，主要参与，结题
科研成果
[1] Qiang Luo, Qianwang Deng, Huining Zhuang, Xin Guo, Juan Zhou, Guiliang Gong. Maintenance-driven multi-stage joint optimization considering spare parts production, distribution and imperfect maintenance. Reliability Engineering and System Safety, 2025, 257: 110799.（中科院SCI一区TOP，IF=11.0）
[2] Qiang Luo, Qianwang Deng, Huining Zhuang, Guiliang Gong, Qin Fan, Xiahui Liu. Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm. Robotics and Computer-Integrated Manufacturing, 2024, 87: 102707.（中科院SCI一区TOP，IF=10.4）
[3] Qiang Luo, Qianwang Deng, Xin Guo, Guiliang Gong, Xinhe Zhao, Liangwu Chen. Modelling and optimization of distributed assembly hybrid flowshop scheduling problem with transportation resource scheduling. Computers & Industrial Engineering, 2023, 186: 109717.（中科院SCI一区TOP，IF=7.9）
[4] Qiang Luo, Qing Fan, Qianwang Deng, Xin Guo, Guiliang Gong, Xiahui Liu. Solving bi-objective integrated scheduling problem of production, inventory and distribution using a modified NSGA-II. Expert Systems with Applications, 2023, 225: 120074.（中科院SCI一区TOP，IF=8.5）
[5] Qiang Luo, Qianwang Deng, Guanhua Xie, Guiliang Gong. A Pareto-based two-stage evolutionary algorithm for flexible job shop scheduling problem with worker cooperation flexibility. Robotics and Computer-Integrated Manufacturing, 2023, 82: 102534.（中科院SCI一区TOP，IF=10.103）
[6] Qiang Luo, Qianwang Deng, Guiliang Gong, Xin Guo, Xiahui Liu. A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm. Expert Systems with Applications, 2022, 207: 117984.（中科院SCI一区TOP，IF=8.665）
[7] Qiang Luo, Qianwang Deng, Guiliang Gong, Like Zhang, Wenwu Han, Kexin Li. An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers. Expert Systems with Applications, 2020, 160: 113721.（中科院SCI一区TOP，IF=6.954）
[8] Jingxing Zhang, Qianwang Deng, Qiang Luo, Kaidan Deng, Mengqi Liao, Yong Lei. Integrated scheduling of green production with flexible preventive maintenance and customer-side workers by a learning-based coevolutionary algorithm. Robotics and Computer-Integrated Manufacturing, 2026, 98: 103140.（中科院SCI一区TOP）
[9] Wenxiang Jiang，Qianwang Deng, Qiang Luo, Jingxing Zhang, Jicong Zhou. A knowledge-based memetic algorithm for integrated scheduling of equipment operation and spare parts manufacturing in distributed assembly flexible job shops. Engineering Applications of Artificial Intelligence, 2026, 164: 113311.（中科院SCI一区TOP）
[10] Jingxing Zhang, Kaidan Deng, Zenghui Yi, Qiang Luo, Juan Zhou, Wenxiang Jiang, Qianwang Deng. Bi-agent graph reinforcement learning for integrated optimization of job shop scheduling and inventory control in the multi-period industrial system. Journal of Industrial Information Integration, 2026, 53: 101188.（中科院SCI一区TOP）
[11] Jiapeng Wu, Jianyu Long, Yaqiang Ji, Kun Long, Qiang Luo, Tao Yin, Chuan Li. LDEMF: A Lightweight Diffusion-Enhanced Multidomain Fusion Framework for Edge-Side Fault Diagnosis Within Distributed Device Clusters. IEEE Internet of Things Journal, 2026, 13(15): 34865-34877.（中科院SCI一区TOP）
[12] Yong Lei, Qianwang Deng, Shuocheng Gao, Kaidan Deng, Mengqi Liao, Qiang Luo. Dynamic scheduling for distributed flexible job shop using deep reinforcement learning. Applied Soft Computing, 2026, 190: 114549.（中科院SCI二区TOP）
[13] Zhiqiang Zeng, Ye Tian, Xiaohui Yan, Liangwei Zhang, Jianyu Long, Qiang Luo, Chuangquan Chen. A constrained multi-objective co-evolutionary algorithm with a dynamic diversity-enhanced auxiliary population. Swarm and Evolutionary Computation, 2026, 106: 102426.（中科院SCI一区TOP）
[14] Liuran Lu, Qianwang Deng, Qiang Luo, Yangyang Hu, Jingxing Zhang, Kaidan Deng. Integrated optimization of dynamic flexible job shop scheduling with AGV breakdowns and multi-site equipment maintenance on the demand side. Computers & Industrial Engineering, 2025: 111361.（中科院SCI二区TOP）
[15] Liuran Lu, Qianwang Deng, Yangyang Hu, Qiang Luo, Shuocheng Gao, Jingxing Zhang. Deep reinforcement learning for dynamic scheduling in distributed heterogeneous flexible job shop with integrated inventory allocation and product delivery. Engineering Applications of Artificial Intelligence, 2025, 162: 112681.（中科院SCI一区TOP）
[16] Xin Guo, Qianwang Deng, Qiang Luo, Guanhua Xie. An effective multi-stage evolutionary algorithm for distributed scheduling with splitting jobs in heterogeneous factories. Engineering Optimization, 2025, 57(3): 688-716.（中科院SCI三区）
[17] Changwen Wang, Guolong Ning, Qianwang Deng, Rui Liu, Qiang Luo. Joint optimization of cooperative maintenance and inventory control for multiple k-out-of-n: F systems considering component interchange and shared spare parts. Reliability Engineering and System Safety, 2025, 262: 111181.（中科院SCI一区TOP）
[18] Xiahui Liu, Qianwang Deng, Saibo Liu, Guiliang Gong, Qiang Luo. Collaboration and sustainability-driven requirement prioritization for cloud platform planning oriented to value chain lifecycle services. Computers & Industrial Engineering, 2025, 203: 110973.（中科院SCI一区TOP）
[19] Ningtao Peng, Yu Zheng, Zhikai Xiao, Guiliang Gong, Dan Huang, Xiahui Liu, Kaikai Zhu, Qiang Luo. Multi-objective dynamic distributed flexible job shop scheduling problem considering uncertain processing time. Cluster Computing, 2025, 28(3): 185.（中科院SCI三区）
[20] Jingxing Zhang, Qianwang Deng, Qiang Luo, Zhen Wang, Huining Zhuang, Yutao Huang. A double-layer Q-learning driven memetic algorithm for integrated scheduling of procurement, production and maintenance with distributed resources. Applied Soft Computing, 2024, 165: 112110.（中科院SCI一区TOP）
[21] Huining Zhuang, Qianwang Deng, Qiang Luo, Yan Zhao, Jingxing Zhang. Modelling and optimization for integrated scheduling problem considering spare parts production, batch transportation and equipment operation. Expert Systems with Applications, 2024, 252: 124194.（中科院SCI一区TOP）
[22] Guiliang Gong, Jiuqiang Tang, Dan Huang, Qiang Luo, Kaikai Zhu, Ningtao Peng. Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility. Swarm and Evolutionary Computation, 2024, 84: 101421.（中科院SCI一区TOP）
[23] Saibo Liu, Qianwang Deng, Xiahui Liu, Qiang Luo, Fengyuan Li, Chao Jiang. Dual-service integrated scheduling of manufacturing and logistics for multiple tasks in cloud manufacturing. Expert Systems with Applications, 2024, 235: 121129. （中科院SCI一区TOP）
[24] Juan Zhou, Huihui Xu, Qianwang Deng, Yinwen Ma, Qiang Luo. Two-stage optimal acquisition and remanufacturing decisions with demand and quality information updating. Transportation Research Part E: Logistics and Transportation Review, 2024, 192: 103823. （中科院SCI一区TOP）
[25] Jiuqiang Tang, Guiliang Gong, Ningtao Peng, Kaikai Zhu, Dan Huang, Qiang Luo. An effective memetic algorithm for distributed flexible job shop scheduling problem considering integrated sequencing flexibility. Expert Systems with Applications, 2024, 242: 122734. （中科院SCI一区TOP）
[26] Kaikai Zhu, Guiliang Gong, Ningtao Peng, Liqiang Zhang, Dan Huang, Qiang Luo, Xiaoqiang Li. Dynamic distributed flexible job-shop scheduling problem considering operation inspection. Expert Systems with Applications, 2023, 224: 119840.（中科院SCI一区TOP）
[27] Wenwu Han, Qianwang Deng, Guiliang Gong, Like Zhang, Qiang Luo. Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint. Expert Systems with Applications, 2021, 168: 114282.（中科院SCI一区TOP）
[28] Guiliang Gong, Raymond Chiong, Qianwang Deng, Qiang Luo. A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption. Journal of Intelligent Manufacturing, 2020, 31: 1443-1466. （中科院SCI二区）
[29] 骆强。备件制造与复杂装备运维联合服务系统V1.0。软件著作权登记号：2025SR0061484。2025年1月10日
[30] 骆强。盾构刀盘供应链库存可视化平台V1.0。软件著作权登记号：2025SR1347341。2025年7月24日
[31] 骆强。盾构刀盘分布式生产调度管理平台V1.0。软件著作权登记号：2025SR1595930。2025年8月22日
荣誉奖励
2025年湖南省优秀博士毕业生
2025年湖南大学优秀博士毕业生
2024年博士研究生国家奖学金
2022年湖南大学博士研究生校长奖学金
2022年湖南省优秀硕士毕业论文
主讲课程
《人工智能导论》、《精益生产》、《数据库及其应用》
