| Differential evolution with multi-population based ensemble of mutation strategies G Wu, R Mallipeddi, PN Suganthan, R Wang, H Chen Information Sciences 329, 329-345, 2016 | 508 | 2016 |
| Preference-inspired Co-evolutionary Algorithms for Many-objective Optimisation R Wang, R Purshouse, P Fleming IEEE Transcation on Evolutionary Computation 17 (4), 474-491, 2013 | 437 | 2013 |
| Localized weighted sum method for many-objective optimization R Wang, Z Zhou, H Ishibuchi, T Liao, T Zhang IEEE Transactions on Evolutionary Computation, 2016 | 283 | 2016 |
| Decomposition-based algorithms using Pareto adaptive scalarizing methods R Wang, Q Zhang, T Zhang IEEE Transactions on Evolutionary Computation 20 (6), 821-837, 2016 | 244 | 2016 |
| Deep Reinforcement Learning for Multi-objective Optimization KW Li, T Zhang, R Wang arXiv arXiv:1906.02386, 2019 - arxiv.org, 2019 | 223* | 2019 |
| Precise diagnosis of intraoperative frozen section is an effective method to guide resection strategy for peripheral small-sized lung adenocarcinoma S Liu, R Wang, Y Zhang, Y Li, C Cheng, Y Pan, J Xiang, Y Zhang, H Chen, ... Journal of clinical oncology 34 (4), 307-313, 2016 | 190 | 2016 |
| Optimal operation of a smart residential microgrid based on model predictive control by considering uncertainties and storage impacts Y Zhang, T Zhang, R Wang, Y Liu, B Guo Solar Energy 122, 1052-1065, 2015 | 166 | 2015 |
| Evolutionary many-objective optimization: A comparative study of the state-of-the-art K Li, R Wang, T Zhang, H Ishibuchi IEEE Access 6, 26194-26214, 2018 | 148 | 2018 |
| FGFR1/3 tyrosine kinase fusions define a unique molecular subtype of non–small cell lung cancer R Wang, L Wang, Y Li, H Hu, L Shen, X Shen, Y Pan, T Ye, Y Zhang, ... Clinical Cancer Research 20 (15), 4107-4114, 2014 | 145 | 2014 |
| A review of hybrid evolutionary multiple criteria decision making methods RC Purshouse, K Deb, MM Mansor, S Mostaghim, R Wang 2014 IEEE congress on evolutionary computation (CEC), 1147-1154, 2014 | 141 | 2014 |
| Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach Z Shi, R Wang, T Zhang Solar Energy 118, 96-106, 2015 | 138 | 2015 |
| Preference-inspired co-evolutionary algorithms using weight vectors R Wang, RC Purshouse, PJ Fleming European Journal of Operational Research 243 (2), 423-441, 2015 | 137 | 2015 |
| Frequency of well-identified oncogenic driver mutations in lung adenocarcinoma of smokers varies with histological subtypes and graduated smoking dose H Li, Y Pan, Y Li, C Li, R Wang, H Hu, Y Zhang, T Ye, L Wang, L Shen, ... Lung Cancer 79 (1), 8-13, 2013 | 132 | 2013 |
| LKB1 inactivation elicits a redox imbalance to modulate non-small cell lung cancer plasticity and therapeutic response F Li, X Han, F Li, R Wang, H Wang, Y Gao, X Wang, Z Fang, W Zhang, ... Cancer cell 27 (5), 698-711, 2015 | 131 | 2015 |
| Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies Y Zhang, R Wang, T Zhang, Y Liu, B Guo IET Generation, Transmission & Distribution 10 (10), 2367-2378, 2016 | 130 | 2016 |
| Hyperplane assisted evolutionary algorithm for many-objective optimization problems H Chen, Y Tian, W Pedrycz, G Wu, R Wang, L Wang IEEE transactions on cybernetics 50 (7), 3367-3380, 2019 | 118 | 2019 |
| Minor components of micropapillary and solid subtypes in lung adenocarcinoma are predictors of lymph node metastasis and poor prognosis Y Zhao, R Wang, X Shen, Y Pan, C Cheng, Y Li, L Shen, Y Zhang, H Li, ... Annals of surgical oncology 23, 2099-2105, 2016 | 112 | 2016 |
| Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid Y Zhang, F Meng, R Wang, B Kazemtabrizi, J Shi Energy 179, 1265-1278, 2019 | 105 | 2019 |
| Meta‐analysis of lobectomy, segmentectomy, and wedge resection for stage I non‐small cell lung cancer Y Zhang, Y Sun, R Wang, T Ye, Y Zhang, H Chen Journal of surgical oncology 111 (3), 334-340, 2015 | 103 | 2015 |
| Multi-objective optimization of hybrid renewable energy system using an enhanced multi-objective evolutionary algorithm M Ming, R Wang, Y Zha, T Zhang Energies 10 (5), 674, 2017 | 93 | 2017 |
Guohua WuCentral South UniversityVerified email at nudt.edu.cn
