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【2020年】
[1] Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu*(通讯),et.al., Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems, IEEE Transactions on Cybernetics, 50(2020):3367-3380 (IF: 11.03, 中科院一区)
[2] Yongming He, Lining Xing, Yingwu Chen, Witold Pedrycz, Ling Wang, Guohua Wu*(通讯), A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites, IEEE Transactions on System, Man and Cybernetics: System, 10.1109/TSMC.2020.3020732, 2020 (IF: 9.31, 中科院一区)
[3] Wenbo Qiu, Jianghan Zhu, Guohua Wu*(通讯), et.al., Ensemble Many-objective Optimization Algorithm Based on Voting Mechanism," IEEE Transactions on System, Man and Cybernetics: System, DOI: 10.1109/TSMC.2020.3034180 (IF: 9.31, 中科院一区)
[4] Huan Liu, Xiamiao Li, Guohua Wu*(通讯), 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, 10.1109/TITS.2020.3042670, 2020 (IF:6.32, 中科院一区)
[5] Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu*(通讯), 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, 10.1109/TITS.2020.3030444, 2020 (IF:6.32, 中科院一区)
[6] Xinjiang Chen, Xiamiao Li, Xinwei Wang, Qizhang Luo, Guohua Wu*(通讯), Task Scheduling Method for Data Relay Satellite Network Considering Breakpoint Transmission, IEEE Transactions on Vehicular Technology, 2020
[7] Xinwei Wang, Guohua Wu*(通讯), et.al., Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions, IEEE Systems Journal, 2020, DOI: 10.1109/JSYST.2020.2997050 (IF: 3.98)
[8] Haifeng Li, Haikuo Huang, Li Chen, Jian Peng, Haozhe Huang, Zhengqi Cui, Xiaoming Mei, Guohua Wu*(通讯), Adversarial examples for CNN-based SAR image classification: An experience study, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 10.1109/JSTARS.2020.3038683 （IF: 3.83）
[9] Wenbo Qiu, Jianghan Zhu, Guohua Wu*(通讯) et.al., Evolutionary Many-Objective Algorithm Based on Fractional Dominance Relation and Improved Objective Space Decomposition Strategy, Swarm and Evolutionary Computation, 2020, doi.org/10.1016/j.swevo.2020.100776 (IF: 6.91, 中科院一区)
[10] 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, 2020, doi.org/10.1016/j.swevo.2020.100690. (IF: 6.91, 中科院一区)
[11] Lisu Huo, Jianghan Zhu, Guohua Wu*(通讯), et.al., A Novel Simulated Annealing Based Strategy for Balanced UAV Task Assignment and Path Planning, Sensors, 2020, 20, 4769; doi:10.3390/s20174769 (IF: 3.28)
[12] 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 System, Man and Cybernetics: System, 2020, DOI: 10.1109/TSMC.2020.2968839 (IF: 9.31, 中科院一区)
[13] 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, 2020
[14] 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, 2020, doi.org/10.1016/j.ins.2020.09.075
[15] Leilei Chang, Wei Zhu, Jianbin Sun, Guohua Wu, Xiaobin Xu, Xiaojian Xu, Parallel multipopulation optimization for belief rule base learning, Information Sciences, doi.org/10.1016/j.ins.2020.09.035
[16] Rui Wang, Guohua Wu, Advanced Methods for Evolutionary Many Objective Optimization. Information Sciences, 509: 318-319 (2020)
[17] 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, DOI: 10.1016/j.swevo.2020.100693, 2020. (IF: 6.91, 中科院一区)
[18] 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, doi.org/10.1016/j.swevo.2020.100795
[19] 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.
[20] 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.
【2019年】
[21] Huangke Chen, Guohua Wu*(通讯), Witold Pedrycz, et.al., An Adaptive Resource Allocation Strategy for Objective Space Partition based Multiobjective Optimization, IEEE Transactions on System, Man and Cybernetics: System, DOI: 10.1109/TSMC.2019.2898456 (IF: 9.31, 中科院一区)
[22] Min Deng, Baoju Liu, Sumin Li, Guohua Wu*(通讯), et.al., A Two-Phase Coordinated Planning Approach for Heterogeneous Earth-Observation Resources to Monitor Area Targets, IEEE Transactions on System, Man and Cybernetics: System, DOI: 10.1109/TSMC.2019.2962205 (IF: 9.31, 中科院一区)
[23] 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, 10.1109/JSYST.2019.2961236
[24] Guohua Wu, Rammohan Mallipeddi, P. N. Suganthan. Ensemble Strategies for Population-based Optimization Algorithms-A Survey. Swarm and Evolutionary Computation, 2018, 2019, 44: 695-711. (IF: 6.33, JCR一区)
[25] Haifeng Li, Li Chen, Hailun Ding, Qi Li, Bingyu Sun, Guohua Wu*(通讯), Procedural Learning with Robust Visual Features via Low Rank Prior, IEEE ACCESS, 2019, 7:18884-18893 (SCI, JCR 一区)
[26] Yongming He, Yingwu Chen, Jimin Lu, Cheng Chen, Guohua Wu*(通讯), 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)
[27] Partha P. Biswas, P. N. Suganthan, Guohua Wu*(通讯), 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)
[28] Anping Lin, Wei Sun* , Hongshan Yu, Guohua Wu*(通讯), Hongwei Tang, Adaptive comprehensive learning particle swarm optimization with cooperative archive，Applied soft computing, 2019, 77: 533-546 (IF: 5.47, )
[29] 李夏苗，陈新江，伍国华*(通讯),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)
[30] 李夏苗，廖文昆，伍国华*(通讯),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, 10.13195/j.kzyjc.2019.1193, 2019.
[31] Ling Wang, Guohua Wu, Liang Gao, Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems". Memetic Computing 11(4): 333-334 (2019)
[32] Jianghan Zhu, Huangke Chen, Guohua Wu, Li Chen, Haifeng Li, Pressure point driven evolutionary algorithm for many-objective optimization, Swarm and Evolutionary Computation, 51,2019, doi.org/10.1016/j.swevo.2019.100599
[33] 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, doi.org/10.1155/2019/9063232 (IF:1.10，JCR三区)
【2018年】
[34] Guohua Wu, X. Shen, H. Li, P.N. Suganthan, Ensemble of differential evolution variants, Information Sciences, 423 (2018): 172-186. (SCI, IF:5.91，ESI 前0.1%热点, 中科院一区)
[35] R. Wang, S. Lai, Guohua Wu*(通讯), L. Xing, L. Wang, and H. Ishibuchi, "Multi-clustering via evolutionary multi-objective optimization," Information Sciences, vol. 450, pp. 128-140, 2018. (IF:5.91，中科院一区)
[36] 陈黄科, 伍国华*(通讯), 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)
[37] Huangke Chen, Jinming Wen, Witold Pedrycz, Guohua Wu*(通讯), Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Clouds, IEEE Transactions on Big Data, 10.1109/TBDATA.2018.2874469
[38] Xin Shen, Guohua Wu*(通讯), 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)
[39] Anping Lin, Wei Sun*, Hongshan Yu, Guohua Wu*(通讯), Hongwei Tang, Global genetic learning particle swarm optimization with diversity enhancement by ring topology, Swarm and Evolutionary Computation, 2018, 44: 571-583 (IF: 6.91, 中科院一区)
[40] Huangke Chen, Jianghan Zhu, Guohua Wu*(通讯), Lisu Huo, Cost-efficient reactive scheduling for real-time workflows in clouds, Journal of Supercomputing, 2018, 11: 6291–6309 (JCR二区)
[41] 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.
[42] 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
[43] 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
[44] 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.
[45] 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.
【2018年之前】
[46] Guohua Wu, Witold Pedrycz, Haifeng Li, Manhao Ma, and Jin Liu. Coordinated Planning of Heterogeneous Earth Observation Resources. IEEE Transactions on System, Man and Cybernetics: System, 46( 2016) , 109-125 (IF: 9.31,中科院一区)
[47] 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: 5.91, SCI，ESI 前1%高引,中科院一区, TOP 期刊)
[48] Guohua Wu, Across neighborhood search for numerical optimization. Information Sciences, 329 (2016): 597-618. (IF: 5.91, 中科院一区)
[49] 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: 3.42, JCR一区)
[50] 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:3.33，JCR一区)
[51] 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: 5.47，中科院一区)
[52] 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: 5.47，中科院一区)
[53] 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)
[54] 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, Nanyang Technological University, Singapore, December 2016.
[55] 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)
[56] 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
[57] 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: 5.47, 中科院一区)
[58] 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, 2017, DOI: 10.1016/j.energy.2017.11.085 (IF:4.5, 中科院一区)
[59] 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:5.91，中科院一区）
[60] 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:5.47, 中科院一区)
[61] 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)
[62] 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)
[63] 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.
[64] 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.
[65] 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.
[66] 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.
[67] 邱涤珊, 郭浩, 贺川, 伍国华. 敏捷成像卫星多星密集任务调度方法[J]. 航空学报. 2013,(04):882-889
[68] 江建清, 朱晓敏, 伍国华, 等. 面向应急对地观测任务的多飞艇协同分配方法[J]. 系统工程与电子技术. 2013,(02):317-325.
[69] 郭浩, 邱涤珊, 伍国华, 等. 基于改进蚁群算法的敏捷成像卫星任务调度方法[J]. 系统工程理论与实践. 2012,(11):2533-2539.
[70] 郭浩, 伍国华, 邱涤珊. 敏捷成像卫星密集任务聚类方法[J]. 系统工程与电子技术. 2012,(05):931-935.
[71] 贺川, 邱涤珊, 朱晓敏,伍国华 . 基于滚动优化策略的成像侦察卫星应急调度方法[J]. 系统工程理论与实践, 2013, 33(10):2685-2694.
[72] 王慧林, 黄小军, 伍国华,等. 基于时序自组半边图的航天资源任务聚合结构研究[J]. 系统仿真学报, 2010(10):2302-2306.
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