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Guo Yu (喻果)
Title
Cited by
Cited by
Year
The effect of diversity maintenance on prediction in dynamic multi-objective optimization
G Ruan, G Yu, J Zheng, J Zou, S Yang
Applied Soft Computing 58, 631-647, 2017
1042017
Decomposing the user-preference in multiobjective optimization
G Yu, J Zheng, R Shen, M Li
Soft Computing 20, 4005-4021, 2016
632016
Benchmark problems and performance indicators for search of knee points in multiobjective optimization
G Yu, Y Jin, M Olhofer
IEEE Transactions on Cybernetics 50 (8), 3531-3544, 2019
402019
A preference-based multi-objective evolutionary algorithm using preference selection radius
J Hu, G Yu, J Zheng, J Zou
Soft Computing 21, 5025-5051, 2017
402017
On decomposition methods in interactive user-preference based optimization
J Zheng, G Yu, Q Zhu, X Li, J Zou
Applied Soft Computing 52, 952-973, 2017
392017
An adaptive reference vector-guided evolutionary algorithm using growing neural gas for many-objective optimization of irregular problems
Q Liu, Y Jin, M Heiderich, T Rodemann, G Yu
IEEE Transactions on Cybernetics 52 (5), 2698-2711, 2020
362020
A method for a posteriori identification of knee points based on solution density
G Yu, Y Jin, M Olhofer
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
312018
A multiobjective evolutionary algorithm for finding knee regions using two localized dominance relationships
G Yu, Y Jin, M Olhofer
IEEE Transactions on Evolutionary Computation 25 (1), 145-158, 2020
262020
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation
H Bai, J Zheng, G Yu, S Yang, J Zou
Information sciences 478, 186-207, 2019
232019
A many-objective evolutionary algorithm based on rotated grid
J Zou, L Fu, J Zheng, S Yang, G Yu, Y Hu
Applied Soft Computing 67, 596-609, 2018
232018
Binary search based boundary elimination selection in many-objective evolutionary optimization
G Yu, R Shen, J Zheng, M Li, J Zou, Y Liu
Applied Soft Computing 60, 689-705, 2017
152017
An improved performance metric for multiobjective evolutionary algorithms with user preferences
G Yu, J Zheng, X Li
2015 IEEE Congress on Evolutionary Computation (CEC), 908-915, 2015
152015
References or preferences–rethinking many-objective evolutionary optimization
G Yu, Y Jin, M Olhofer
2019 IEEE congress on evolutionary computation (CEC), 2410-2417, 2019
142019
An a priori knee identification multi-objective evolutionary algorithm based on α-dominance
G Yu, Y Jin, M Olhofer
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
132019
A performance indicator for reference-point-based multiobjective evolutionary optimization
Z Hou, S Yang, J Zou, J Zheng, G Yu, G Ruan
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1571-1578, 2018
92018
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization
G Yu, L Ma, Y Jin, W Du, Q Liu, H Zhang
IEEE Transactions on Evolutionary Computation 26 (6), 1452-1472, 2022
82022
基于邻域竞赛的多目标优化算法
刘元, 郑金华, 邹娟, 喻果
自动化学报 44 (7), 1304-1320, 2018
82018
Tiny adversarial mulit-objective oneshot neural architecture search
G Xie, J Wang, G Yu, F Zheng, Y Jin
arXiv preprint arXiv:2103.00363, 2021
52021
Research on MOEA/D based on user-preference and alternate weight to solve the effect of reference point on multi-objective algorithms
J ZHENG, G YU, Y JIA
ACTA ELECTONICA SINICA 44 (1), 67, 2016
52016
A fast constrained state transition algorithm
X Zhou, J Tian, J Long, Y Jin, G Yu, C Yang
Neurocomputing 455, 202-214, 2021
42021
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