• Peng Guo, Jianyu Xiong, Yi Wang, Xiangyin Meng, Linmao Qian. Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation. IEEE Transactions on Emerging Topics in Computational Intelligence  2023.

• Peng Guo, Jianyu Xiong, Yi Wang & Kun Wen.  Streamlining multi-commodity inventory allocation and redistribution. International Journal of Systems Science: Operations & Logistics,  2023, 10(1),,DOI: 10.1080/23302674.2023.2250250
  

• Peng Guo, Qi Liu, Shui Yu, Jianyu Xiong, Xiang Tan & Chao Guo.  A transformer with layer-cross decoding for remaining useful life prediction. The Journal of Supercomputing. 2023, 79 (10), 11558-11584.

• K Lei, P Guo, Y Wang, J Zhang, X Meng, L Qian. Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning. IEEE Transactions on Industrial Informatics, 2023.
  

• Haichao Chen, Peng Guo, Jesus Jimenez, Zhijie Sasha Dong, Wenming Cheng. Unrelated Parallel Machine Photolithography Scheduling Problem with Dual Resource Constraints. IEEE Transactions on Semiconductor Manufacturing. 2023, 36(1):100 - 112.

• 郭鹏, 郝东辉, 郑鹏, 王祺欣. 考虑工人疲劳的双资源柔性作业车间调度优化. 浙江大学学报(工学版),2023.

• Jianyu Xiong, Peng Guo, Yi Wang, Xiangyin Meng,  Jian Zhang, Linmao Qian, Zhenglin Yu. Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems. Engineering Applications of Artificial Intelligence, 2023,118:105710.

• Peng Guo , Haichao Shi, Shijie Wang, Liansheng Tang and Zipeng Wang. An ROS Architecture for Autonomous Mobile Robots with UCAR Platforms in Smart Restaurants. Machines, 2022.

• Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao. Solve routing problems with a residual  edge-graph attention neural network. NeuroComputing, 2022.

• K Lei, P Guo, W  Zhao, Y Wang, L Qian, X Meng, L Tang. A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem. Expert  Systems with Applications, 2022. 117796.

• 雷坤; 郭鹏; 王祺欣; 赵文超; 唐连生.基于End-to-end深度强化学习的多车场车辆路径优化.计算机应用研究.2022.

• 郭鹏; 汪世杰; 周士祺; 史海超. 基于并行搜索遗传算法的AGV自适应集群调度. 华中科技大学学报(自然科学版). 2022,50(05).

• Xiao Wu, Peng Guo, Yi Wang & Yakun Wang. Decomposition approaches for parallel machine scheduling of step-deteriorating jobs to minimize total tardiness and energy consumption. Complex & Intelligent Systems 2022 .

• 郭超, 陈香玲, 郭鹏, 王强. 基于通用变邻域搜索的多AGV分拣调度优化.河北科技大学学报, 2021, 42(5):523-534.

• 郭鹏, 赵文超, 雷坤. 基于改进Jaya算法的双资源约束柔性作业车间优化调度.吉林大学学报(工学版).2023.53(02):480-487.

• 赵文超, 郭鹏, 王海波, 雷坤.改进樽海鞘群算法求解柔性作业车间调度问题.智能系统学报, 2022,17(2):376-386. 

• 温昆, 郭鹏, 裴霞, 吴晓.带时间窗和调货特性的多品类取送货问题优化.系统管理学报, 2021, 30(5):1032-1041.

• 陈香玲，郭鹏，温昆，裴霞.考虑充电需求和时间窗的多AGV调度优化建模.河北科技大学学报, 2021, 42(2):91-100.

• Peng Guo, Xun He, Yulin Luan, Yi Wang. Logic-based Benders decomposition for gantry crane scheduling with  transferring position constraints in a rail-road container terminal. Engineering Optimization, 2021,53.

• Peng Guo, Limin Wang, Cong Xue, Yi Wang. Dispatching Rules for Scheduling Twin Automated Gantry Cranes in an Automated Railroad Container Terminal. Arabian Journal for Science and Engineering,2020.

• 栾玉麟，郭鹏，王丽敏.时尚行业零售网点多品类取送货车辆路径优化研究.工业工程与管理,2020, 25(4):41-49.

• 薛聪,郭鹏,陈宓,王丽敏.考虑能耗与工时恶化作用下的并行机调度优化.计算机系统应用,2020,29(9):66-74.

• 何迅,郭鹏,栾玉麟. 基于突破性局部搜索的集装箱班列同步转运作业调度优化. 计算机系统应用. 2019,28(10): 183-189.

• 郭鹏,何迅,许素瑕. 考虑翻箱作业的铁路集装箱中心站起重机调度研究 . 中南大学学报. 2019,50(11): 2915-2924.

• Peng Guo, Felix Weidinger, and Nils Boysen. Parallel machine scheduling with job synchronization to enable efficient material flows in hub terminals. Omega. 2019,89:110-121.(中科院一区Top)

• Peng Guo, Wenming Cheng, Yi Wang, and Nils Boysen. Gantry crane scheduling in intermodal rail-road container terminals. International Journal of Production Research. 2018,56(16): 5419-5436.(二区)

• 许素瑕，郭鹏. 考虑翻箱过程的单台集装箱起重机作业调度算法优化.计算机应用研究.2018.

• Huafeng Dai, Wenming Cheng and Peng Guo. An Improved Tabu Search for Multi-skill Resource-Constrained Project  Scheduling Problems Under Step-Deterioration. Arabian Journal for Science  and Engineering,2018,43 (6), 3279-3290.

• Peng Guo, Wenming Cheng and Yi Wang.  Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problem.  Expert Systems with Applications, 2017, 71:57-68.

• Peng Guo, Wenming Cheng and Yi Wang. Scheduling step-deteriorating jobs to minimize the total weighted  tardiness on a single machine. International Journal of Systems Science,  2017. 4(2):92-107.

• Huafeng Dai, Wenming Cheng, Peng Guo. Single-machine scheduling with deteriorating jobs and limited resource. International Journal of Industrial and Systems Engineering. 2017, 26(4): 508-526.

• 张志瑶，郭鹏，李潇. 城市公共自行车租赁系统站点配车数仿真优化. 计算机工程与应用. 2017, 53(12): 229-233.

• 郭鹏，周洋，周峰等. 城区物流配送中心选址优化系统设计与实现. 河北科技大学学报. 2017, 38(1): 19-25.

• Peng Guo, Wenming Cheng, and Yi Wang. Parallel machine scheduling with step deteriorating jobs and setup times by a hybrid discrete cuckoo search algorithm.  Engineering Optimization, 2015, 47(11):1564-1585.

• Peng Guo, Wenming Cheng, Yi Wang.  A modified generalized extremal optimization algorithm for the quay crane  scheduling problem with interference constraints. Engineering Optimization, 2014, 46(10): 1411-1429.

• Peng Guo, Wenming Cheng, Yi Wang.  A general variable neighborhood search for single-machine total tardiness scheduling problem with step-deteriorating jobs. Journal of Industrial and Management Optimization. 2014, 10 (4): 1071 - 1090.

• Peng Guo, Wenming Cheng, Zeqiang  Zhang. Gantry Crane Scheduling with Interference Constraints in Railway Container Terminals. International Journal of Computational  Intelligence Systems, 2013, 6(2): 244-260. 

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