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Rui Wang 0017
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Publications
- 2024
- [j66]Honglei Cheng, Gai-Ge Wang, Liyan Chen, Rui Wang:
A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking. Comput. Biol. Medicine 168: 107727 (2024) - [j65]Rui Wang, Zhiming Zhou, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao:
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks. IEEE CAA J. Autom. Sinica 11(1): 157-169 (2024) - [j64]Nan-Jiang Dong, Tao Zhang, Rui Wang, Xiangke Liao, Ling Wang:
An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization. Inf. Sci. 659: 120053 (2024) - [j63]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang:
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. IEEE Trans. Evol. Comput. 28(1): 238-251 (2024) - [j62]Wenhua Li, Rui Wang, Shengjun Huang, Tao Zhang, Ling Wang:
Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1633-1644 (2024) - 2023
- [j61]Yunchou Yin, Zhimeng Han, Muwei Jian, Gai-Ge Wang, Liyan Chen, Rui Wang:
AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation. Comput. Biol. Medicine 162: 107120 (2023) - [j60]Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 10(7): 1544-1556 (2023) - [j59]Nanjiang Dong, Rui Wang, Tao Zhang, Junwei Ou:
On the effect of particle update modes in particle swarm optimisation. Int. J. Bio Inspired Comput. 21(4): 230-239 (2023) - [j58]Sheng Qi, Rui Wang, Tao Zhang, Nan-Jiang Dong:
Cooperative coevolutionary competition swarm optimizer with perturbation for high-dimensional multi-objective optimization. Inf. Sci. 644: 119253 (2023) - [j57]Shi Cheng, Mingming Zhang, Lianbo Ma, Hui Lu, Rui Wang, Yuhui Shi:
Brain storm optimization algorithm for solving knowledge spillover problems. Neural Comput. Appl. 35(17): 12247-12260 (2023) - [j56]Wenhua Li, Tao Zhang, Rui Wang, Shengjun Huang, Jing Liang:
Multimodal multi-objective optimization: Comparative study of the state-of-the-art. Swarm Evol. Comput. 77: 101253 (2023) - [j55]Zedong Zheng, Shengxiang Yang, Yinan Guo, Xiaolong Jin, Rui Wang:
Meta-heuristic Techniques in Microgrid Management: A Survey. Swarm Evol. Comput. 78: 101256 (2023) - [j54]Xu Yang, Wenhua Li, Rui Wang, Kang Yang:
Helper objective-based multifactorial evolutionary algorithm for continuous optimization. Swarm Evol. Comput. 78: 101279 (2023) - [j53]Wenhua Li, Xingyi Yao, Tao Zhang, Rui Wang, Ling Wang:
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts. IEEE Trans. Evol. Comput. 27(1): 98-110 (2023) - [j52]Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao:
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization. IEEE Trans. Evol. Comput. 27(5): 1260-1274 (2023) - [j51]Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi:
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 981-982 (2023) - [c47]Mengjun Ming, Xin Zhou, Rui Wang, Tao Zhang:
Many-Constraint Multi-objective Optimization of Grid-Connected Hybrid Renewable Energy System. DMBD (1) 2023: 268-282 - 2022
- [j50]Xingyi Yao, Wenhua Li, Xiaogang Pan, Rui Wang:
Multimodal multi-objective evolutionary algorithm for multiple path planning. Comput. Ind. Eng. 169: 108145 (2022) - [j49]Yong Zhao, Bin Chen, XiangHan Wang, Zhengqiu Zhu, Yiduo Wang, Guangquan Cheng, Rui Wang, Rongxiao Wang, Ming He, Yu Liu:
A deep reinforcement learning based searching method for source localization. Inf. Sci. 588: 67-81 (2022) - [j48]Bo Jiang, Hongtao Lei, Wenhua Li, Rui Wang:
A novel multi-objective evolutionary algorithm for hybrid renewable energy system design. Swarm Evol. Comput. 75: 101186 (2022) - [j47]Jian Xiong, Rui Wang, Gang Kou, Liang Xu:
Solving Periodic Investment Portfolio Selection Problems by a Data-Assisted Multiobjective Evolutionary Approach. IEEE Trans. Cybern. 52(11): 11418-11430 (2022) - [j46]Kaiwen Li, Tao Zhang, Rui Wang, Yuheng Wang, Yi Han, Ling Wang:
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems. IEEE Trans. Cybern. 52(12): 13142-13155 (2022) - [j45]Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang, Hisao Ishibuchi:
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast. IEEE Trans. Evol. Comput. 26(5): 1030-1042 (2022) - [j44]Mengjun Ming, Rui Wang, Hisao Ishibuchi, Tao Zhang:
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 1129-1143 (2022) - [i8]Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang:
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer. CoRR abs/2204.11477 (2022) - [i7]Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi:
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization. CoRR abs/2206.10464 (2022) - [i6]Wenhua Li, Tao Zhang, Rui Wang, Jing Liang:
Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art. CoRR abs/2207.04730 (2022) - [i5]Wenhua Li, Shengjun Huang, Tao Zhang, Rui Wang, Ling Wang:
Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm. CoRR abs/2207.08327 (2022) - [i4]Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization. CoRR abs/2212.01219 (2022) - 2021
- [j43]Qinghua Gu, Rui Wang, Haiyan Xie, Xuexian Li, Song Jiang, Naixue Xiong:
Modified non-dominated sorting genetic algorithm III with fine final level selection. Appl. Intell. 51(7): 4236-4269 (2021) - [j42]Kang Yang, Rui Wang, Huihui He, Xu Yang, Guo Zhang:
Multi-supply multi-capacitated p-median location optimization via a hybrid bi-level intelligent algorithm. Comput. Ind. Eng. 160: 107584 (2021) - [j41]Weijian Qin, Zhichao Shi, Wenhua Li, Kaiwen Li, Tao Zhang, Rui Wang:
Multiobjective routing optimization of mobile charging vehicles for UAV power supply guarantees. Comput. Ind. Eng. 162: 107714 (2021) - [j40]Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, Ling Wang, Dunwei Gong, Jian Xiong:
Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. Inf. Sci. 546: 1148-1165 (2021) - [j38]Rui Wang, Nan-Jiang Dong, Dun-Wei Gong, Zhongbao Zhou, Shi Cheng, Guohua Wu, Ling Wang:
PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set. Swarm Evol. Comput. 60: 100795 (2021) - [j37]Kaiwen Li, Tao Zhang, Rui Wang:
Deep Reinforcement Learning for Multiobjective Optimization. IEEE Trans. Cybern. 51(6): 3103-3114 (2021) - [j36]Mengjun Ming, Anupam Trivedi, Rui Wang, Dipti Srinivasan, Tao Zhang:
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 739-753 (2021) - [j35]Wenhua Li, Tao Zhang, Rui Wang, Hisao Ishibuchi:
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(6): 1064-1078 (2021) - [j34]Huan Liu, Xiamiao Li, Guohua Wu, Mingfeng Fan, Rui Wang, Liang Gao, Witold Pedrycz:
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. IEEE Trans. Intell. Transp. Syst. 22(9): 5926-5938 (2021) - [c46]Mengjun Ming, Rui Wang, Tao Zhang:
Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization. CEC 2021: 1179-1184 - [c45]Nan-Jiang Dong, Rui Wang, Tao Zhang:
A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning. CEC 2021: 1712-1718 - [c44]Xu Yang, Rui Wang, Wenhua Li:
Helper Objective Assisted Evolutionary Algorithm for Multi-modal Optimization. CEC 2021: 1946-1952 - [c43]Guo Zhang, Rui Wang, Hongtao Lei, Tao Zhang, Wenhua Li, Yuanming Song:
UAV Path Planning Based on Variable Neighborhood Search Genetic Algorithm. ICSI (2) 2021: 205-217 - [i3]Kaiwen Li, Tao Zhang, Rui Wang, Yuheng Wang, Yi Han:
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems. CoRR abs/2102.05875 (2021) - 2020
- [j33]Chao Chen, Weidong Bao, Tong Men, Xiaomin Zhu, Ji Wang, Rui Wang:
NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm. Complex. 2020: 6747985:1-6747985:14 (2020) - [j32]Yuanming Song, Yajie Liu, Wanli Xu, Xu Yang, Rui Wang:
Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network. Complex. 2020: 8882528:1-8882528:8 (2020) - [j31]Rui Wang, Guohua Wu:
Special issue - Advanced Methods for Evolutionary Many Objective Optimization. Inf. Sci. 509: 318-319 (2020) - [j30]Lianbo Ma, Rui Wang, Shengminjie Chen, Shi Cheng, Xingwei Wang, Zhiwei Lin, Yuhui Shi, Min Huang:
A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model. Inf. Sci. 509: 437-456 (2020) - [j29]Wenhua Li, Rui Wang, Tao Zhang, Mengjun Ming, Kaiwen Li:
Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front. Inf. Sci. 522: 193-213 (2020) - [j28]Yaru Hu, Jinhua Zheng, Juan Zou, Shengxiang Yang, Junwei Ou, Rui Wang:
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change. Inf. Sci. 523: 49-62 (2020) - [j27]Lining Xing, Bo Jiao, Yonghao Du, Xu Tan, Rui Wang:
Intelligent Energy-Saving Supervision System of Urban Buildings Based on the Internet of Things: A Case Study. IEEE Syst. J. 14(3): 4252-4261 (2020) - [j26]Guohua Wu, Wuxuan Peng, Xingchen Hu, Rui Wang, Huangke Chen:
Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering. Swarm Evol. Comput. 55: 100690 (2020) - [j25]Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu, Rui Wang, Ling Wang:
Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 50(7): 3367-3380 (2020) - [c42]Lianbo Ma, Mingli Shi, Rui Wang, Shengminjie Chen, Junfei Zhao, Xiaolong Shen:
Multi/Many-Objective Optimization Via A New Preference Indicator. CEC 2020: 1-6 - [c41]Xupeng Wen, Guohua Wu, Mingfeng Fan, Rui Wang, Ponnuthurai Nagaratnam Suganthan:
Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization. CEC 2020: 1-8 - [i2]Mengjun Ming, Rui Wang, Tao Zhang:
Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization. CoRR abs/2010.04445 (2020) - 2019
- [j24]Liyu Dai, Wenjie Chen, Xu Yang, Minghua Zheng, Yang Yang, Rui Wang:
A Multi-Function Common Mode Choke Based on Active CM EMI Filters for AC/DC Power Converters. IEEE Access 7: 43534-43546 (2019) - [j23]Yuanming Song, Yajie Liu, Rui Wang, Mengjun Ming:
Multi-Objective Configuration Optimization for Isolated Microgrid With Shiftable Loads and Mobile Energy Storage. IEEE Access 7: 95248-95263 (2019) - [j22]Xing Zhou, Huaimin Wang, Wei Peng, Bo Ding, Rui Wang:
Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms. Sci. China Inf. Sci. 62(9): 192104:1-192104:18 (2019) - [j21]Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang:
Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. Int. J. Bio Inspired Comput. 13(2): 86-101 (2019) - [j20]Xing Zhou, Huaimin Wang, Bo Ding, Wei Peng, Rui Wang:
Multi-objective evolutionary computation for topology coverage assessment problem. Knowl. Based Syst. 177: 1-10 (2019) - [j19]Wenhua Li, Rui Wang, Tao Zhang, Mengjun Ming, Hongtao Lei:
Multi-scenario microgrid optimization using an evolutionary multi-objective algorithm. Swarm Evol. Comput. 50 (2019) - [c40]Nan-Jiang Dong, Rui Wang:
MEAPCA: A Multi-population Evolutionary Algorithm Based on PCA for Multi-objective Optimization. BIC-TA (1) 2019: 549-557 - [c39]Rui Wang, Lianbo Ma, Tao Zhang, Shi Cheng, Yuhui Shi:
Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design. CEC 2019: 262-270 - [c38]Lianbo Ma, Tao Zhang, Rui Wang, Guangming Yang, Yichuan Zhang:
PBAR: Parallelized Brain Storm Optimization for Association Rule Mining. CEC 2019: 1148-1156 - [c37]Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu:
Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. CEC 2019: 3341-3347 - [c36]Mengjun Ming, Rui Wang, Tao Zhang:
Evolutionary Many-Constraint Optimization: An Exploratory Analysis. EMO 2019: 165-176 - [c35]Wenhua Li, Tao Zhang, Rui Wang, Bo Wang, Yuanming Song, Xunjia Li:
A Knee-Point Driven Multi-objective Evolutionary Algorithm for Flexible Job Shop Scheduling. SSCI 2019: 1716-1722 - [c34]Mengjun Ming, Rui Wang, Tao Zhang, Hisao Ishibuchi:
A dual-grid dual-phase strategy for constrained multi-objective optimization. SSCI 2019: 1881-1888 - [i1]Kaiwen Li, Tao Zhang, Rui Wang:
Deep Reinforcement Learning for Multi-objective Optimization. CoRR abs/1906.02386 (2019) - 2018
- [j18]Kaiwen Li, Rui Wang, Tao Zhang, Hisao Ishibuchi:
Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art. IEEE Access 6: 26194-26214 (2018) - [j17]Xin Shen, Guohua Wu, Rui Wang, Huangke Chen, Haifeng Li, Jianmai Shi:
A Self-Adapted Across Neighborhood Search Algorithm With Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems. IEEE Access 6: 41314-41324 (2018) - [j16]Zhe Shu, Weiping Wang, Rui Wang:
Design of an Optimized Architecture for Manned and Unmanned Combat System-of-Systems: Formulation and Coevolutionary Optimization. IEEE Access 6: 52725-52740 (2018) - [j15]Rui Wang, Fuxing Zhang, Tao Zhang, Peter J. Fleming:
Cooperative co-evolution with improved differential grouping method for large-scale global optimisation. Int. J. Bio Inspired Comput. 12(4): 214-225 (2018) - [j14]Rui Wang, Shiming Lai, Guohua Wu, Lining Xing, Ling Wang, Hisao Ishibuchi:
Multi-clustering via evolutionary multi-objective optimization. Inf. Sci. 450: 128-140 (2018) - [j13]Rui Wang, Zhongbao Zhou, Hisao Ishibuchi, Tianjun Liao, Tao Zhang:
Localized Weighted Sum Method for Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 3-18 (2018) - [c33]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. ICACI 2018: 122-127 - [c32]Xiaoyu Zhang, Rui Wang, Tao Zhang, Ling Wang, Yajie Liu, Yabing Zha:
Short-Term Load Forecasting Based on RBM and NARX Neural Network. ICIC (3) 2018: 193-203 - [c31]Rui Wang, Meng-jun Ming, Lining Xing, Wenyin Gong, Ling Wang:
Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization. ICIC (3) 2018: 807-814 - [c30]Ghiath Al Aqel, Xinyu Li, Liang Gao, Wenyin Gong, Rui Wang, Teng Ren, Guohua Wu:
Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem. IEEM 2018: 1235-1239 - [c29]Shengminjie Chen, Rui Wang, Lianbo Ma, Zhao Gu, Xiaofan Du, Yichuan Shao:
A Novel Many-Objective Bacterial Foraging Optimizer Based on Multi-engine Cooperation Framework. ICSI (1) 2018: 520-529 - [c28]Rui Wang, Shengminjie Chen, Lianbo Ma, Shi Cheng, Yuhui Shi:
Multi-indicator Bacterial Foraging Algorithm with Kriging Model for Many-Objective Optimization. ICSI (1) 2018: 530-539 - 2017
- [j12]Rui Wang, Jian Xiong, Hisao Ishibuchi, Guohua Wu, Tao Zhang:
On the effect of reference point in MOEA/D for multi-objective optimization. Appl. Soft Comput. 58: 25-34 (2017) - [j11]Mengjun Ming, Rui Wang, Yabing Zha, Tao Zhang:
Pareto adaptive penalty-based boundary intersection method for multi-objective optimization. Inf. Sci. 414: 158-174 (2017) - [c27]Xiaoyu Zhang, Rui Wang, Tao Zhang, Yajie Liu, Yabin Zha:
Effect of Transfer Functions in Deep Belief Network for Short-Term Load Forecasting. BIC-TA 2017: 511-522 - [c26]Fuxing Zhang, Tao Zhang, Rui Wang:
Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global Optimization. ICIC (1) 2017: 3-13 - [c25]Yan Zhang, Fanlin Meng, Rui Wang:
A comprehensive MPC based energy management framework for isolated microgrids. ISGT Europe 2017: 1-6 - [c24]Huiyan Jiang, Wanpeng Dong, Lianbo Ma, Rui Wang:
Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizations. ISICA (1) 2017: 41-52 - 2016
- [j10]Hongtao Lei, Rui Wang, Gilbert Laporte:
Solving a multi-objective dynamic stochastic districting and routing problem with a co-evolutionary algorithm. Comput. Oper. Res. 67: 12-24 (2016) - [j9]Hongtao Lei, Rui Wang, Tao Zhang, Yajie Liu, Yabing Zha:
A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center. Comput. Oper. Res. 75: 103-117 (2016) - [j8]Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Rui Wang, Huangke Chen:
Differential evolution with multi-population based ensemble of mutation strategies. Inf. Sci. 329: 329-345 (2016) - [j7]Rui Wang, Qingfu Zhang, Tao Zhang:
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods. IEEE Trans. Evol. Comput. 20(6): 821-837 (2016) - [c23]Jie Li, Rui Wang, Tao Zhang:
Wind speed prediction using a cooperative coevolution genetic algorithm based on back propagation neural network. CEC 2016: 4578-4583 - [c22]Rui Wang, Hisao Ishibuchi, Yan Zhang, Xiaojun Zheng, Tao Zhang:
On the effect of localized PBI method in MOEA/D for multi-objective optimization. SSCI 2016: 1-8 - 2015
- [j6]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Preference-inspired co-evolutionary algorithms using weight vectors. Eur. J. Oper. Res. 243(2): 423-441 (2015) - [j5]Rui Wang, Robin C. Purshouse, Ioannis Giagkiozis, Peter J. Fleming:
The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique. Eur. J. Oper. Res. 243(2): 442-453 (2015) - [j4]Rui Wang, Maszatul M. Mansor, Robin C. Purshouse, Peter J. Fleming:
An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms. Int. J. Syst. Sci. 46(13): 2407-2420 (2015) - [c21]Rui Wang, Qingfu Zhang, Tao Zhang:
Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. EMO (1) 2015: 248-262 - [c20]Rui Wang, Fuxing Zhang, Tao Zhang:
Multi-objective optimal design of hybrid renewable energy systems using evolutionary algorithms. ICNC 2015: 1196-1200 - [c19]Xiaoyu Zhang, Rui Wang, Tianjun Liao, Tao Zhang, Yabin Zha:
Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network. SSCI 2015: 647-650 - [c18]Yan Zhang, Rui Wang, Tao Zhang, Tianjun Liao, Yajie Liu, Bo Guo:
Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices. SSCI 2015: 1267-1271 - 2014
- [j3]Rui Wang, Peter J. Fleming, Robin C. Purshouse:
General framework for localised multi-objective evolutionary algorithms. Inf. Sci. 258: 29-53 (2014) - [c17]Rui Wang, Xu Yang, Yan Gao:
The SAS Statistical Machine Translation System for WAT 2014. WAT 2014: 64-68 - [c16]Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang:
A review of hybrid evolutionary multiple criteria decision making methods. IEEE Congress on Evolutionary Computation 2014: 1147-1154 - [c15]ZhiChao Shi, Rui Wang, Tao Zhang:
PICEA-g using an enhanced fitness assignment method. MCDM 2014: 72-77 - [c14]Wanwei Liu, Xiaoguang Mao, Geguang Pu, Rui Wang:
Combining Syntactic and Semantic Encoding for LTL Bounded Model Checking. TASE 2014: 82-89 - 2013
- [j2]Tao Zhang, John D. Andrews, Rui Wang:
Optimal Scheduling of Track Maintenance on a Railway Network. Qual. Reliab. Eng. Int. 29(2): 285-297 (2013) - [j1]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization. IEEE Trans. Evol. Comput. 17(4): 474-494 (2013) - [c13]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors. IEEE Congress on Evolutionary Computation 2013: 916-923 - [c12]Rui Wang, Tao Zhang, Bo Guo:
An enhanced MOEA/D using uniform directions and a pre-organization procedure. IEEE Congress on Evolutionary Computation 2013: 2390-2397 - [c11]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
"Whatever Works Best for You"- A New Method for a Priori and Progressive Multi-objective Optimisation. EMO 2013: 337-351 - [c10]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Preference-inspired co-evolutionary algorithm using weights for many-objective optimization. GECCO (Companion) 2013: 101-102 - [c9]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm. GECCO 2013: 695-702 - [c8]Wanwei Liu, Rui Wang, Xianjin Fu, Ji Wang, Wei Dong, Xiaoguang Mao:
Counterexample-Preserving Reduction for Symbolic Model Checking. ICTAC 2013: 249-266 - 2012
- [c7]Rui Wang, Robin C. Purshouse, Peter J. Fleming:
Local preference-inspired co-evolutionary algorithms. GECCO 2012: 513-520 - 2008
- [c6]Qing Zhang, Sanyou Zeng, Rui Wang, Hui Shi, Guang Chen, Lixin Ding, Lishan Kang:
Constrained optimization by the evolutionary algorithm with lower dimensional crossover and gradient-based mutation. IEEE Congress on Evolutionary Computation 2008: 273-279 - [c5]Sanyou Zeng, Guang Chen, Rui Wang, Hui Li, Hui Shi, Lixin Ding, Lishan Kang:
A new technique for assessing the diversity of close-Pareto-optimal front. IEEE Congress on Evolutionary Computation 2008: 344-349 - 2007
- [c4]Yue-Xiang Yang, Rui Wang, Yang Liu, Shang-zhen Li, Xiao-yong Zhou:
Solving P2P Traffic Identification Problems Via Optimized Support Vector Machines. AICCSA 2007: 165-171 - [c3]Yue-Xiang Yang, Li-Zhi Cheng, Yong Luo, Rui Wang:
Bandelet Union Optimal Matrix Norms Constructing Lossless Watermarking. CISIM 2007: 294-298 - 2006
- [c2]Sanyou Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin Ding:
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design. GECCO 2006: 1437-1438 - [c1]Rui Wang, Yang Liu, Yue-Xiang Yang, Xiao-yong Zhou:
Solving the App-Level Classification Problem of P2P Traffic Via Optimized Support Vector Machines. ISDA (2) 2006: 534-539
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