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.