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Handing Wang
Handing Wang
School of Artificial Intelligence, Xidian University
Verified email at xidian.edu.cn - Homepage
Title
Cited by
Cited by
Year
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
H Wang, L Jiao, X Yao
IEEE Transactions on Evolutionary Computation 19 (4), 524--541, 2015
5222015
Data-driven evolutionary optimization: An overview and case studies
Y Jin, H Wang, T Chugh, D Guo, K Miettinen
IEEE Transactions on Evolutionary Computation 23 (3), 442-458, 2018
5012018
A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization
L Pan, C He, Y Tian, H Wang, X Zhang, Y Jin
IEEE Transactions on Evolutionary Computation 23 (1), 74-88, 2018
3462018
Committee-based active learning for surrogate-assisted particle swarm optimization of expensive problems
H Wang, Y Jin, J Doherty
IEEE transactions on cybernetics 47 (9), 2664-2677, 2017
3422017
Diversity assessment in many-objective optimization
H Wang, Y Jin, X Yao
IEEE transactions on cybernetics 47 (6), 1510-1522, 2016
2472016
Surrogate-assisted evolutionary deep learning using an end-to-end random forest-based performance predictor
Y Sun, H Wang, B Xue, Y Jin, GG Yen, M Zhang
IEEE Transactions on Evolutionary Computation 24 (2), 350-364, 2019
2452019
Data-driven surrogate-assisted multiobjective evolutionary optimization of a trauma system
H Wang, Y Jin, JO Jansen
IEEE Transactions on Evolutionary Computation 20 (6), 939-952, 2016
2272016
Offline data-driven evolutionary optimization using selective surrogate ensembles
H Wang, Y Jin, C Sun, J Doherty
IEEE Transactions on Evolutionary Computation 23 (2), 203-216, 2018
1872018
A random forest-assisted evolutionary algorithm for data-driven constrained multiobjective combinatorial optimization of trauma systems
H Wang, Y Jin
IEEE transactions on cybernetics 50 (2), 536-549, 2018
1622018
A kriging-assisted two-archive evolutionary algorithm for expensive many-objective optimization
Z Song, H Wang, C He, Y Jin
IEEE Transactions on Evolutionary Computation 25 (6), 1013-1027, 2021
1452021
A mini-review on preference modeling and articulation in multi-objective optimization: current status and challenges
H Wang, M Olhofer, Y Jin
Complex & Intelligent Systems 3, 233-245, 2017
1432017
Corner Sort for Pareto-Based Many-Objective Optimization
H Wang, X Yao
IEEE Transactions on Cybernetics 44 (1), 92-102, 2014
1432014
Effectiveness and efficiency of non-dominated sorting for evolutionary multi-and many-objective optimization
Y Tian, H Wang, X Zhang, Y Jin
Complex & Intelligent Systems 3, 247-263, 2017
1272017
Objective reduction based on nonlinear correlation information entropy
H Wang, X Yao
Soft Computing 20, 2393-2407, 2016
782016
Data-driven evolutionary optimization
Y Jin, H Wang, C Sun
Springer International Publishing, 2021
682021
A repository of real-world datasets for data-driven evolutionary multiobjective optimization
C He, Y Tian, H Wang, Y Jin
Complex & Intelligent Systems 6 (1), 189-197, 2020
672020
A co-evolutionary multi-objective optimization algorithm based on direction vectors
LC Jiao, H Wang, RH Shang, F Liu
Information Sciences 228, 90-112, 2013
622013
A generic test suite for evolutionary multifidelity optimization
H Wang, Y Jin, J Doherty
IEEE Transactions on Evolutionary Computation 22 (6), 836-850, 2017
602017
Surrogate-assisted evolutionary multitasking for expensive minimax optimization in multiple scenarios
H Wang, L Feng, Y Jin, J Doherty
IEEE Computational Intelligence Magazine 16 (1), 34-48, 2021
552021
Multimodal optimization enhanced cooperative coevolution for large-scale optimization
X Peng, Y Jin, H Wang
IEEE transactions on cybernetics 49 (9), 3507-3520, 2018
532018
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