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Rui Wang (王锐)
Rui Wang (王锐)
ACSE, The University of Sheffield / College of System Engineering, National University of Defense
Verified email at shef.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4172016
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
3952013
Localized weighted sum method for many-objective optimization
R Wang, Z Zhou, H Ishibuchi, T Liao, T Zhang
IEEE Transactions on Evolutionary Computation, 2016
2492016
Decomposition-based algorithms using Pareto adaptive scalarizing methods
R Wang, Q Zhang, T Zhang
IEEE Transactions on Evolutionary Computation 20 (6), 821-837, 2016
2192016
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
1562015
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
1522016
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
1372014
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
1282014
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
1272015
Preference-inspired co-evolutionary algorithms using weight vectors
R Wang, RC Purshouse, PJ Fleming
European Journal of Operational Research 243 (2), 423-441, 2015
1242015
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
1242013
Deep Reinforcement Learning for Multi-objective Optimization
KW Li, T Zhang, R Wang
arXiv arXiv:1906.02386, 2019 - arxiv.org, 2019
123*2019
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
1212018
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
1172015
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
1142016
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
942015
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 (6), 2099-2105, 2016
832016
A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
H Lei, R Wang, T Zhang, Y Liu, Y Zha
Computers & Operations Research 75, 103-117, 2016
822016
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
812019
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
792017
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