 Selected Publications
【2023年】 [1] Qizhang Luo, Guohua Wu*, et.al., Multi-objective optimization algorithm with adaptive resource allocation for truck-drone collaborative delivery and pick-up services, IEEE Transactions on Intelligent Transportation Systems, 2023,10.1109/TITS.2023.3267103(IF:9.6, 中科院一区) [2] Fangyu Hong, Guohua Wu*, et.al., Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System, IEEE Transactions on Intelligent Transportation Systems, 2023, 10.1109/TITS.2023.3271430 [3] Huan Liu, Guohua Wu*, et.al., Tangent-based Path Planning for UAV in a 3-D Low Altitude Urban Environment, IEEE Transactions on Intelligent Transportation Systems, 2023 [4] Zhongqiang Ma, Guohua Wu*, et.al., Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms, Swarm and Evolutionary Computation, 2023, doi.org/10.1016/j.swevo.2023.101248 (IF: 10.3, 中科院一区) [5] Binje Xu, Kexin Zhao, Qizhang Luo, Guohua Wu*, A GV-drone Arc Routing Approach for Urban Traffic Patrol by Coordinating a Ground Vehicle and Multiple Drones, Swarm and Evolutionary Computation, 2023, doi.org/10.1016/j.swevo.2023.101246 (IF: 10.3, 中科院一区) [6] B Ji, Z Zhang, SY Samson, S Zhou, G Wu, Modelling and heuristically solving many-to-many heterogeneous vehicle routing problem with cross-docking and two-dimensional loading constraints, European Journal of Operational Research 306 (3), 1219-1235, 2023. [7] Z Zhang, Z Zhou, X Yang, H Meng, G Wu, Convolutional neural network based on multi-directional local coding for finger vein recognition, Information Sciences, 623, 633-647, 2023. [8] X Xiao, B Ji, SS Yu, G Wu, A tabu-based adaptive large neighborhood search for scheduling unrelated parallel batch processing machines with non-identical job sizes and dynamic job arrivals, Flexible Services and Manufacturing Journal, 1-44, 2023
【2022年】 [9] Guohua Wu, Xupeng Wen, et.al., A voting-mechanism-based ensemble framework for constraint handling techniques. IEEE Transactions on Evolutionary Computation 26(4): 646-660, 2022. (IF: 16.5,中科院一区) [10] Guohua Wu, Qizhang Luo, et.al., Ensemble of meta-heuristic and exact algorithms based on the divide and conquer framework for multi-satellite observation scheduling, IEEE Transactions on Aerospace and Electronic Systems, 58(5):4396- 4408, 2022, (IF: 4.01, 中科院一区) [11] Guohua Wu, Xiao Mao, et.al., Coordinated Scheduling of Air and Space Observation Resources via Divide and Conquer Framework and Iterative Optimization, IEEE Transactions on Aerospace and Electronic Systems, 2022, 10.1109/TAES.2022.3228832. (IF: 4.01, 中科院一区) [12] Guohua Wu, Qizhang Luo, et.al., "Flexible Task Scheduling in Data Relay Satellite Networks". IEEE Transactions on Aerospace and Electronic Systems 58(2): 1055-1068, 2022. (IF 4.1, 中科院一区) [13] Guohua Wu, Ni Mao, et.al., Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic, IEEE Transactions on Intelligent Transportation Systems, 23(12):25077-25091, 2022 (IF:9.6, 中科院一区) [14] Guohua Wu, Kexin Zhao, et.al., A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search, Sensors, 22 (10), 3702,2022 [15] Aijuan Song, Guohua Wu*, et.al., Automatic Variable Reduction, IEEE Transactions on Evolutionary Computation, 2022, 10.1109/TEVC.2022.3199413 (IF: 16.5,中科院一区) [16] Baoju Liu, Min Deng, Guohua Wu*, et.al., Bottom-up mechanism and improved contract net protocol for dynamic task planning of heterogeneous Earth observation resources, IEEE Transactions on Systems, Man and Cybernetics: Systems, 52(10):6183- 6196, 2022 (IF: 11.5, 中科院一区) [17] Yongming He, Lining Xing, Yingwu Chen, Witold Pedrycz, Ling Wang, Guohua Wu*, A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites, IEEE Transactions on Systems, Man and Cybernetics: Systems, 52 (3): 1463-1474, 2022 (IF: 11.5, ESI 高被引,中科院一区) [18] Wenbo Qiu, Jianghan Zhu, Guohua Wu*, et.al., Ensemble Many-objective Optimization Algorithm Based on Voting Mechanism, IEEE Transactions on Systems, Man and Cybernetics: Systems, 52 (3): 1716-1730, 2022. (IF: 11.5, ESI 高被引,中科院一区) [19] Zhongqiang Ma, Guohua Wu*, et.al., A Novel Scattered Storage Policy Considering Commodity Classification and Correlation in Robotic Mobile Fulfillment Systems, IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2022.3178934, 2022 (IF 6.6) [20] Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu*, et.al., An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy，IEEE Transactions on Intelligent Transportation Systems, 23(4): 3061-3073, 2022 (IF:9.6, 中科院一区) [21] Jiaxin Li, Guohua Wu*, Tianjun Liao, et.al., Task Scheduling under A Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning, IEEE Transactions on Vehicular Technology, 2022, 10.1109/TVT.2022.3233358 . (IF 6.2) [22] Mingfeng Fan, Yaoxin Wu, Tianjun Liao, Zhiguang Cao, Guohua Wu*, Deep Reinforcement Learning for UAV Routing in Presence of Multiple Charging Stations, IEEE Transactions on Vehicular Technology, 2022, 10.1109/TVT.2022.3232607. (IF 6.2) [23] Bingjie Li, Guohua Wu*, et.al., Overview and Experimental Study of Learning-based Optimization Algorithms for the Vehicle Routing Problem, IEEE/CAA Journal of Automatica Sinica, 9(7): 1115-1138, 2022. (IF 7.8, 中科院一区) [24] Aijuan Song, Guohua Wu*, et.al., Integrating Variable Reduction Strategy with Evolutionary Algorithms for Solving Nonlinear Equations Systems. IEEE/CAA Journal of Automatica Sinica, 9(1): 75-89, 2022. (IF 7.8, 中科院一区) [25] Xupeng Wen, Guohua Wu*, Heterogeneous Multi-Drone Routing Problem for Parcel Delivery, Transportation Research Part C : Emerging Technologies 141 (2022): 103763. (IF 9.0,中科院一区) [26] Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu*, Curvature graph neural network, Information Sciences, 592: 50-66, 2022. (IF: 8.2, 中科院一区) [27] Shuai Deng, Guohua Wu*, Ling Wang, Evolutionary Game Analysis of Three Parties in Logistics Platforms and Freight Transportation Companies' Behavioral Strategies for Horizontal Collaboration Considering Vehicle Capacity Utilization, Complex & Intelligent Systems, (2022): 1-21 (IF 6.7) [28] Chao Han, Yi Gu, Guohua Wu, Xinwei Wang, Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022. (IF: 11.5, 中科院一区) [29] Xu Tan, Leilei Chang, Yu-Wang Chen, Zhiyong Hao, Guohua Wu, Cooperative and Distributed Multi-Objective Optimization for Heterogeneous Belief Rule Base, IEEE Systems Journal, 16(1): 777-788, 2022. [30] Qizhang Luo, Wuxuan Peng, Guohua Wu, Yougang Xiao, Orbital Maneuver Optimization of Earth Observation Satellites Using an Adaptive Differential Evolution Algorithm, Remote Sensing, 14 (9), 1966, 2022 [31] 伍国华, 王天宇.基于自适应模拟退火算法的大规模星座测控资源调度方法[J].航空学报, 2022 [32] 伍国华, 毛妮, 等, 基于自适应大规模邻域搜索算法的多车辆与多无人机协同配送方法[J].控制与决策, 2022 [33] 伍国华, 李冰洁, 等, 基于任务分解与强化学习的多平台协同火力分配方法[J], 控制与决策, 2022 [34] 文旭鹏, 伍国华*, 等, 基于三阶段优化的大无人机辅助小无人机物流配送方法[J]，控制理论与应用，2022 [35] 肖友刚, 金升成, 伍国华*，基于深度强化学习的舰船导弹目标分配方法[J]，控制理论与应用，2022 [36] 伍国华, 杜潇, 等. 考虑邻域结构动态调整的多星应急调度算法[J].控制与决策,37(07):1685-1694, 2022. [37] 伍国华, 张雯菲 ,等. 一种基于变量约简的稀疏优化算法[J].控制与决策,37(06):1550-1558,2022.
【2021年】 [38] Guohua Wu, Mingfeng Fan, et.al., Reinforcement Learning based Truck-and-Drone Coordinated Delivery, IEEE Transactions on Artificial Intelligence, 2021, 10.1109/TAI.2021.3087666 [39] Huangke Chen, Guohua Wu*, et.al., An Adaptive Resource Allocation Strategy for Objective Space Partition based Multiobjective Optimization, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(3): 1507-1522, 2021. (IF: 11.5, ESI 高被引,中科院一区) [40] Xinjiang Chen, Xiamiao Li, Xinwei Wang, Qizhang Luo, Guohua Wu*, Task Scheduling Method for Data Relay Satellite Network Considering Breakpoint Transmission, IEEE Transactions on Vehicular Technology, 70(1): 844-857, 2021. (IF: 6.2) [41] Qizhang Luo, Guohua Wu*, et.al., Hybrid multi-objective optimization approach with Pareto local search for collaborative truck-drone routing problems considering flexible time windows, IEEE Transactions on Intelligent Transportation Systems, 2021, 10.1109/TITS.2021.3119080 (IF:9.6, 中科院一区) [42] Huan Liu, Xiamiao Li, Guohua Wu*, et.al., An Iterative Two-Phase Optimization Method based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs, IEEE Transactions on Intelligent Transportation Systems, 22(9): 5926-5938, 2021. (IF:9.6, 中科院一区) [43] Xinwei Wang, Guohua Wu*, et.al., Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions, IEEE Systems Journal, 15(3): 3881–3892, 2021. (IF: 3.93) [44] Min Deng, Baoju Liu, Sumin Li, Guohua Wu*, et.al., A Two-Phase Coordinated Planning Approach for Heterogeneous Earth-Observation Resources to Monitor Area Targets, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(10): 6388–6403, 2021. (IF: 11.5, 中科院一区) [45] Haifeng Li, Haikuo Huang, Li Chen, Guohua Wu*, Adversarial examples for CNN-based SAR image classification: An experience study, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 1333-1347, 2021. (IF: 4.7) [46] Wenbo Qiu, Jianghan Zhu, Guohua Wu* et.al., Evolutionary Many-Objective Algorithm Based on Fractional Dominance Relation and Improved Objective Space Decomposition Strategy, Swarm and Evolutionary Computation, 60: 100776, 2021. (IF:10.3, 中科院一区) [47] Qizhang Luo, Xinjiang Chen, Guohua Wu*, A Data Transmission Scheduling Method Considering Broken-Point Continuingly-Transferring in VANETs, Wireless Networks, 27(7): 4461-4477, 2021. [48] Xingchen Hu, Yinghua Shen, Witold Pedrycz, Yan Li and Guohua Wu, Granular Fuzzy Rule-based Modeling with Incomplete Data Representation, IEEE Transactions on Cybernetics, 2021, 10.1109/TCYB.2021.3071145 [49] Feiran Huang, Yang Yang, Zhigao Zheng,Guohua Wu, Shahid Mumtaz, Recognizing Influential Nodes in Social Networks with Controllability and Observability, IEEE Internet of Things Journal, 8(8): 6197-6204, 2021. (IF:9.936) [50] Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, et.al., Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization, Information Sciences, 546: 1148-1165, 2021. [51] Leilei Chang, Wei Zhu, Jianbin Sun, Guohua Wu, Xiaobin Xu, Xiaojian Xu, Parallel multipopulation optimization for belief rule base learning, Information Sciences, 556: 436-458, 2021. [52] Bin Ji, Saiqi Zhou, Samson S.Yu, Guohua Wu, An Enhanced Neighborhood Search Algorithm for Solving the Split Delivery Vehicle Routing Problem with Two-dimensional Loading Constraints, Computers & Industrial Engineering, 162: 107720, 2021. [53] A. Kumar, Guohua Wu, Mostafa Z. Ali, Qizhang Luo, R. Mallipeddi, et.al., A Benchmark-Suite of Real-World Constrained Multi-Objective Optimization Problems and some Baseline Results, Swarm and Evolutionary Computation, 67: 100961, 2021. [54] Rui Wang, Nanjiang Dong, Dunwei Gong, Zhongbao Zhou, Shi Cheng, Guohua Wu, Ling Wang, PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set, Swarm and Evolutionary Computation, 60: 100795, 2021. (IF: 10.3, 中科院一区) [55] Xinwei Wang, Yi Gu, GuohuaWu, John R.Woodward, Robust scheduling for multiple agile Earth observation satellites under cloud coverage uncertainty, Computers & Industrial Engineering, 156: 107292, 2021. [56] Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, et.al., Two-Echelon Routing Problem for Parcel Delivery by Cooperated Truck and Drone, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51 (12): 7450-7465, 2021. (IF: 11.5, 中科院一区) [57] Qizhang Luo, Guohua Wu*, Ni Mao, Jianmai Shi, Hybridization of variable neighborhood search and simulated annealing for the collaborative truck-drone routing problem, 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 2021: 1505-1515. (大会优秀论文) [58] Ni Mao, Guohua Wu*, Qizhang Luo, Jianmai Shi, A variable neighborhood descent method for cooperative delivery routing problem of trucks and drones, 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 2021: 1537-1546. [59] 李夏苗，廖文昆，伍国华*,等. 基于两阶段迭代优化的空天观测资源协同任务规划方法[J]. 控制与决策, 36(05):1147-1156, 2021. [60] 杨紫晴, 姚佳林, 伍国华, 陈学伟, 毛成辉, 集成协方差矩阵自适应进化策略与差分进化的优化算法, 控制理论与应用, 38(10):1493-1502, 2021.
【2020年以前】 [61] Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu*,et.al., Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems, IEEE Transactions on Cybernetics, 50 (7): 3367-3380, 2020. (IF: 19.1, 中科院一区) [62] Guohua Wu, Witold Pedrycz, Haifeng Li, Manhao Ma, and Jin Liu. Coordinated Planning of Heterogeneous Earth Observation Resources. IEEE Transactions on Systems, Man and Cybernetics: Systems, 46(2016), 109-125 (IF: 11.5,中科院一区) [63] Guohua Wu, Rammohan Mallipeddi, P. N. Suganthan, Rui Wang, Huangke Chen, Differential Evolution with Multi-Population Based Ensemble of Mutation Strategies. Information Sciences, 329 (2016): 329-345. (IF: 8.2, SCI，ESI 高被引,中科院一区, TOP 期刊) [64] Guohua Wu, Across neighborhood search for numerical optimization. Information Sciences, 329 (2016): 597-618. (IF: 8.2, 中科院一区) [65] Guohua Wu, X. Shen, H. Li, P.N. Suganthan, Ensemble of differential evolution variants, Information Sciences, 423 (2018): 172-186. (SCI, IF:8.2，ESI 前0.1%热点, 中科院一区) [66] Guohua Wu, Jin Liu, Manhao Ma, and Dishan Qiu. A two-phase scheduling method with the consideration of task clustering for earth observing satellites. Computers & Operations Research: 40 (2013): 1884–1894 (IF: 4.00, JCR一区) [67] Guohua Wu, Huilin Wang, Witold Pedrycz, Haifeng Li, Ling Wang. Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy. Computers & Industrial Engineering, 113（2017）:576–588. (IF:5.43，JCR一区) [68] Guohua Wu, W. Pedrycz, P. N. Suganthan, Haifeng Li. Using Variable Reduction Strategy to Accelerate Evolutionary Optimization, Applied Soft Computing, 61(2017): 283-293. (IF: 6.73，中科院一区) [69] Guohua Wu, Witold Pedrycz, P. N. Suganthan, Rammohan Mallipeddi. A Variable Reduction Strategy for Evolutionary Algorithms Handling Equality Constraints. Applied Soft Computing, 37 (2015): 774-786. (IF: 6.73，中科院一区) [70] Guohua Wu, D. Qiu, Y. Yu, W. Pedrycz, M. Ma. Superior solution guided particle swarm optimization combined with local search techniques. Expert Systems with Applications: 41 (2014): 7536-7548. (IF: 3.93, JCR一区) [71] Huangke Chen, Jinming Wen, Witold Pedrycz, Guohua Wu*, Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Clouds, IEEE Transactions on Big Data, 6(1): 131-144, 2020. [72] R. Wang, S. Lai, Guohua Wu*, L. Xing, L. Wang, and H. Ishibuchi, "Multi-clustering via evolutionary multi-objective optimization," Information Sciences, vol. 450, pp. 128-140, 2018. (IF:8.2，中科院一区) [73] Guohua Wu, Rammohan Mallipeddi, P. N. Suganthan. Ensemble Strategies for Population-based Optimization Algorithms-A Survey. Swarm and Evolutionary Computation, 2019, 44: 695-711. (IF: 6.33, JCR一区) [74] Guohua Wu, Wuxuan Peng, et.al., Configuring Differential Evolution Adaptively via Path Search in a Directed Acyclic Graph for Data Clustering, Swarm and Evolutionary Computation, 55: 100690, 2020. (IF: 10.3, 中科院一区) [75] Guohua Wu, R. Mallipeddi, P. N. Suganthan, "Problem Definitions and Evaluation Criteria for the CEC 2017 Competition and Special Session on Constrained Single Objective Real-Parameter Optimization", Technical Report, December 2016. [76] Guohua Wu, Manhao Ma, Jianghan Zhu, and Dishan Qiu. Multi-satellite observation integrated scheduling method oriented to emergency tasks and common tasks. Journal of Systems Engineering and Electronics: 23(2012):723-733 (IF: 0.55, SCI，JCR四区) [77] Anping Lin, Wei Sun*, Hongshan Yu, Guohua Wu*, Hongwei Tang, Global genetic learning particle swarm optimization with diversity enhancement by ring topology, Swarm and Evolutionary Computation, 2018, 44: 571-583 (IF: 10.3, 中科院一区) [78] Yongming He, Yingwu Chen, Jimin Lu, Cheng Chen, Guohua Wu*, Scheduling multiple agile earth observation satellites with an edge computing framework and a constructive heuristic algorithm, Journal of Systems Architecture, 2019, 95:55-66. (SCI, CCF B类) [79] Partha P. Biswas, P. N. Suganthan, Guohua Wu*, G. J. Amaratunga, Parameter estimation of solar cells using datasheet information with an adaptive differential evolution algorithm, Renewable Energy, 132(2019): 425-438 (IF: 5.44, 中科院一区) [80] Anping Lin, Wei Sun* , Hongshan Yu, Guohua Wu*, Hongwei Tang, Adaptive comprehensive learning particle swarm optimization with cooperative archive，Applied Soft Computing, 2019, 77: 533-546 (IF: 6.73 ) [81] Huangke Chen, Jianghan Zhu, Guohua Wu*, Lisu Huo, Cost-efficient reactive scheduling for real-time workflows in clouds, Journal of Supercomputing, 2018, 11: 6291–6309 (JCR二区) [82] Haifeng Li, Li Chen, Hailun Ding, Qi Li, Bingyu Sun, Guohua Wu*, Procedural Learning with Robust Visual Features via Low Rank Prior, IEEE ACCESS, 2019, 7:18884-18893. (SCI, JCR 一区) [83] Xin Shen, Guohua Wu*, Rui Wang, Huangke Chen, Haifeng Li, Janmai Shi. A Self-adapted Across Neighborhood Search Algorithm with Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems, IEEE ACCESS, 2018, 41314 - 41324. (JCR 一区) [84] 陈黄科, 伍国华*, 霍离俗, 戚玉涛. 基于目标空间划分的自适应多目标进化算法, 软件学报, 2018,28(9):2649-2663. (一级学报) [85] 李夏苗，陈新江，伍国华*,等．考虑断点续传的中继卫星调度模型及启发式算法[J]．航空学报, 2019, 40(11): 323233 (一级学报) [86] 伍国华, 马满好, 王慧林, 等. 基于任务聚类的多星观测调度方法[J]. 航空学报. 2011,(07):1275-1282. [87] 伍国华, 马满好, 王慧林, 等. 考虑任务聚类的多星观测分阶段调度方法研究[J]. 宇航学报. 2011,(10):2273-2279. [88] Lisu Huo, Jianghan Zhu, Guohua Wu*, et.al., A Novel Simulated Annealing Based Strategy for Balanced UAV Task Assignment and Path Planning, Sensors, 20(17): 1-21, 2020. (IF: 3.28) [89] Xupeng Wen, Guohua Wu*, et.al., "Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization." 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020: 1-8. [90] Guohua Wu, Witold Pedrycz, Dishan Qiu, and Manhao Ma. A New granular particle swarm optimization variant for granular optimization problems. 2013 Joint IFSA World Congress NAFIPS Annual Meeting:2013 ,24-28 [91] Guohua Wu, Longfei Zhang, Minfan He, Ying Yu, Huangke Chen, Rui Wang. An Across Neighborhood Search Algorithm with a Solution Difference Perturbation Mechanism for Solving Economic Dispatch Problems. The 10th International Conference on Advanced Computational Intelligence (ICACI 2018), Xiamen, China, 2018, 640-645. [92] Rui Wang, Guohua Wu, Advanced Methods for Evolutionary Many Objective Optimization. Information Sciences, 509: 318-319, 2020. [93] Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, et.al., A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm and Evolutionary Computation, 56: 100693, 2020. (IF: 10.3, 中科院一区) [94] Jianjiang Wang, Erik Demeulemeester, Xuejun Hu and Guohua Wu, Expectation and SAA models and algorithms for scheduling of multiple earth observation satellites under the impact of clouds, IEEE Systems Journal, 14(4): 5451-5462, 2020. [95] Qizhang Luo, Tiantian Wang, Guohua Wu*, A Lamb wave-based structural health monitoring system for high-speed train car-body, Presented at 99th Transportation Research Board Annual Meeting, 2020. [96] Qizhang Luo, Tiantian Wang, Yaru Gu, Guohua Wu*, Towards Prognostic and Health Management of Train Wheels in the Chinese industry, Presented at 99th Transportation Research Board Annual Meeting, 2020. [97] Ling Wang, Guohua Wu, Liang Gao, Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems". Memetic Computing 11(4): 333-334 (2019) [98] Jianghan Zhu, Huangke Chen, Guohua Wu, Li Chen, Haifeng Li, Pressure point driven evolutionary algorithm for many-objective optimization, Swarm and Evolutionary Computation, 51, 100599, 2019. [99] Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, Chao Chen, Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance. Journal of Advanced Transportation, 2019, 9063232. (IF:2.42，JCR三区) [100] Y. Wang, Z Liu, J Shi, Guohua Wu, R Wang, Joint Optimal Policy for Subsidy on Electric Vehicles and Infrastructure Construction in Highway Network, Energies 11 (9), 2479, 2018 [101] Q. Liu, R. Wang, Y. Zhang, Guohua Wu, and J. Shi, "An Optimal and Distributed Demand Response Strategy for Energy Internet Management," Energies, vol. 11, p. 215, 2018 [102] Huangke Chen, Xiaomin Zhu, Witold Pedrycz, Shu Yin, Guohua Wu and Hui Yan, PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization, 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, 223- 232. [103] Qingzheng Xu, Heng Yang, Na Wang, Rong Fei, Guohua Wu, A Uniform Approach for the Comparison of Opposition-Based Learning, International Conference on Sensing and Imaging, 2018, 563-574. [104] Xincheng Hu, Witold Pedrycz, Guohua Wu, Xianmin Wang. Data Reconstruction with Information Granules:An Augmented Method of Fuzzy Clustering. Applied Soft Computing, 55(2017):523–532. (IF: 6.73, 中科院一区) [105] Rui Wang, Guozheng Li, Mengjun Ming, Guohua Wu, Ling Wang. An efficient multi-objective model and algorithm for sizing a stand-alone hybrid renewable energy system. Energy, 141, 2288-2299, 2017. (IF:7.15, 中科院一区) [106] Wei Sun, Anping Lin, Hongshan Yu, Qiaokang Liang, Guohua Wu. All dimension neighborhood particle swarm optimization with randomly selected neighbors. Information Sciences, 405(2017): 141-156. （IF:8.2，中科院一区） [107] Rui Wang, Jian Xiong, Guohua Wu, et.al., On the effect of reference point in MOED/D for multi-objective optimization. Applied Soft Computing,58 (2017): 25-34. (IF:6.73, 中科院一区) [108] Houyi Yan., Lvlin Hou, Y. Ling, Guohua Wu. (2016). Optimizing complex networks controllability by local structure information. International Journal of Modern Physics C, 165-178. (JCR三区) [109] R Mallipeddi, Guohua Wu, M Lee, PN Suganthan.Gaussian adaptation based parameter adaptation for differential evolution. 2014 IEEE Congress on Evolutionary Computation (CEC)，45-52 ( EI检索) [110] 伍国华, 马满好. 路径交叉检测与消除方法和邻节点置换方法改进TSP的解[J]. 计算机应用研究, 2011, 28(2):485-487. [111] 王慧林, 黄维, 邱涤珊, 伍国华. 空域频域不确定条件下电磁探测卫星规划方法研究[J]. 国防科技大学学报. 2011,(01):149-154. 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